Features from a style image are adapted to express a machine-readable code. For example, grains of rice depicted in a style image may be positioned to create a pattern mimicking that of a machine-readable code. The resulting output image can then be used as a graphical component in product packaging (e.g., as a background, border, or pattern fill), while also serving to convey a product identifier to a compliant reader device (e.g., a retail point-of-sale terminal). In some embodiments, a neural network is trained to apply a particular style image to machine readable codes. A great variety of other features and arrangements are also detailed.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
Images depicting items in a waste flow on a conveyor belt are provided to two analysis systems. The first system processes images to decode digital watermark payload data found on certain of the items (e.g., plastic containers). This payload data is used to look up corresponding attribute metadata for the items in a database, such as the type of plastic in each item, and whether the item was used as a food container or not. The second analysis system can be a spectroscopy system that determines the type of plastic in each item by its absorption characteristics. When the two systems conflict in identifying the plastic type, a sorting logic processor applies a rule set to arbitrate the conflict and determine which plastic type is most likely. The item is then sorted into one of several different bins depending on a combination of the final plastic identification, and whether the item was used as a food container or not. A variety of other features and arrangements are also detailed.
G06V 30/224 - Reconnaissance de caractères caractérisés par le type d’écriture de caractères imprimés pourvus de marques de codage additionnelles ou de marques de codage
G06T 7/90 - Détermination de caractéristiques de couleur
B07C 5/34 - Tri en fonction d'autres propriétés particulières
B07C 5/342 - Tri en fonction d'autres propriétés particulières selon les propriétés optiques, p.ex. la couleur
B65G 47/49 - Dispositifs pour décharger les objets ou matériaux des transporteurs avec distribution, p.ex. automatique, aux points voulus selon des marques de destination portées soit par les objets, soit par les porte-charges sans contact matériel entre l'objet ou porte-charges et le dispositif automatique de commande
G05B 13/02 - Systèmes de commande adaptatifs, c. à d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
G06T 1/00 - Traitement de données d'image, d'application générale
H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c. à d. systèmes dans lesquels le signal vidéo n'est pas diffusé
G06F 18/21 - Conception ou mise en place de systèmes ou de techniques; Extraction de caractéristiques dans l'espace des caractéristiques; Séparation aveugle de sources
H04N 23/56 - Caméras ou modules de caméras comprenant des capteurs d'images électroniques; Leur commande munis de moyens d'éclairage
H04N 23/73 - Circuits de compensation de la variation de luminosité dans la scène en influençant le temps d'exposition
G06V 10/80 - Fusion, c. à d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p.ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersections; Analyse de connectivité, p.ex. de composantes connectées
The present disclosure relates to signal processing such as digital watermarking and other encoded signals. One claim recites a substrate comprising: a plurality of first areas and a plurality of second areas, in which each of the plurality of first areas comprises a color ink printed therein with a first clear topcoat layer printed over the color ink, and in which each of the plurality of second areas comprises the color ink printed therein, and a second clear topcoat layer printed over the color ink, in which the first clear topcoat layer and the second clear topcoat layer each comprise a different sheen relative to one another, and in which the plurality of second areas is arranged on the substrate in hole locations provided in the first clear topcoat layer, the second clear topcoat layer filling in the holes, the holes arranged according to a 2-dimensional pattern that is machine-readable from image data depicting such. Of course, other claims and combinations are provided in the specification with reference to specific implementations and related examples.
This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. One claim is directed to a container comprising: a 3004 or 3003 aluminum alloy shell, the shell comprising an outer surface and an inner surface; a first layer of transparent ink printed on the outer surface as a flood within a first region; a second layer of the transparent ink printed over the first layer of transparent ink within the first region, in which the second layer of the transparent ink is printed to include a plurality of holes without any transparent ink printed therein; an opaque ink printed within the plurality of holes of the second layer of transparent ink on first layer of transparent ink within the first region, in which: i) the outer surface/first layer/second layer, and ii) the outer surface/first layer/opaque ink comprise a spectral reflectance difference at a machine-vision wavelength in the range of 8%-35%, and in which the plurality of holes are arranged in a 2-dimensional pattern according to a machine-readable signal, the 2-dimensional pattern being machine-readable from imagery captured of the first region. Of course, other containers, methods, packages, objects, systems, technology and apparatus are described in this disclosure.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
B41J 3/413 - Machines à écrire ou mécanismes d'impression ou de marquage sélectif caractérisés par le but dans lequel ils sont construits pour le marquage sur des matériaux particuliers pour le métal
B41M 3/00 - Procédés d'impression pour des travaux imprimés d'un genre particulier, p.ex. motifs
B65D 1/12 - Boîtes de conserves, barils, tonneaux ou fûts
B65D 1/40 - Réceptacles rigides ou semi-rigides ayant des corps d'une seule pièce formés, p.ex. par coulage d'un matériau en métal, par moulage d'un matériau plastique, par soufflage d'un matériau vitreux, par coulage d'un matériau en céramique, par moulage d'un - Détails des parois
This disclosure relates to advanced signal processing technology including signal encoding. One combination includes an apparatus comprising: memory for storing image data, the image data comprising a plurality of color separations or channels, in which the image data comprises at least a first type of machine-readable symbology comprising a 1D barcode represented therein and a second type of machine-readable symbology comprising a first signal represented therein, in which the second type of machine-readable symbology comprises a different type of machine-readable symbology relative to the first type of machine-readable symbology, the 1D barcode comprising a first plural-bit code and the first signal comprising a second plural-bit code; a barcode reader configured to analyze the image data to decode the 1D barcode to obtain the first plural-bit code; a signal decoder configured to analyze one or more color separations or channels of the plurality of color separations or channels to decode the first signal to obtain the second plural-bit code; one or more processors configured to determine whether the second plural-bit code and the first plural-bit code conflict; and to identify a conflict based on a conflict determination. Of course, other features and combinations are described as well.
In one aspect, the technology processes image data depicting a physical object to extract payload data that is encoded on the object in the form of tiled code blocks. The payload data is encoded in conjunction with an associated reference signal. To account for possible inversion of the imagery, the decoding includes determining spatial correspondence between the image data and the reference signal. A patch of the image data smaller than the block size is then selected, and correlated with a spatially-corresponding patch of the reference signal. From the correlation it may be concluded that the chosen patch exhibits inversion. In such case a subset of the image data is adjusted prior to decoding to compensate for the inversion. A great number of other features and arrangements are also detailed.
G06K 7/10 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
7.
METHODS AND ARRANGEMENTS FOR ASSESSING CAMERA SYSTEM PERFORMANCE
Performance metrics for an imaging system are assessed in the field, without the need for carefully-controlled conditions, such as lighting. In some embodiments, a hand-held test target is used to measure MTF, and to identify any undesired noise-reduction operation applied by an image signal processor. A metric-based heuristic enables prediction of whether an imaging system will be suitable to detect and decode a digital watermark signal of a particular resolution. A variety of other features and arrangements are also detailed.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
8.
ARTWORK GENERATED TO CONVEY DIGITAL MESSAGES, AND METHODS/APPARATUSES FOR GENERATING SUCH ARTWORK
2D machine readable symbologies are stylized and made aesthetically-appealing, facilitating their use to convey plural-symbol data on product packaging and other articles. In some arrangements, symbologies are stylized by geometric transformations (e.g., by multiple rotation and/or mirroring operations) to develop tiles having organized geometric structures. Such stylized symbologies can be decoded by existing code readers. A great variety of other features and arrangements are also detailed.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06K 1/12 - Méthodes ou dispositions pour marquer les supports d'enregistrement sous la forme numérique autrement que par poinçonnage
9.
Color Driven Localization of 1D and 2D Barcodes in Digital Capture Systems
The present disclosures relates to decoding machine readable indicia (e.g., a 1D or 2D barcode) in imagery, and related image processing technology. One claim recites a method of locating a barcode within imagery, comprising: converting the imagery to greyscale imagery; evaluating a plurality of blocks within the greyscale imagery, each of the plurality of blocks comprising n×m pixels, where both n and m are positive integers; for each block of the plurality of blocks, determining a value representing pixel diversity within the block; masking the greyscale imagery based on values of the plurality of blocks, in which blocks with a value below a predetermined value of pixel diversity are masked out or excluded; searching the masked, greyscale imagery to determine whether is includes a barcode represented therein. Of course, other claims and combinations are provided too.
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
10.
Sensor-based maximum-likelihood estimation of item assignments
A store includes first and second racks of shelving that are respectively viewed by first and second cameras. A computer system, including one or more processors and memory, defines a first convolutional neural network (CNN) trained to recognize a first set of items stocked on the first rack of shelving, and a second CNN trained to recognize a second set of items stocked on the second rack of shelving. (The first camera provides imagery for recognition by the first CNN, and the second camera provides imagery for recognition by the second CNN.) In such arrangement, the second neural network is trained to recognize a particular item that the first neural network is not trained to recognize, and the first neural network is trained to recognize a certain item that the second neural network is not trained to recognize. Many other features and arrangements are also detailed.
A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements—some involving designing classifiers so as to combat classifier copying—are also detailed.
G06T 1/00 - Traitement de données d'image, d'application générale
G06F 21/16 - Traçabilité de programme ou de contenu, p.ex. par filigranage
G06V 10/24 - Alignement, centrage, détection de l’orientation ou correction de l’image
G06V 20/20 - RECONNAISSANCE OU COMPRÉHENSION D’IMAGES OU DE VIDÉOS Éléments spécifiques à la scène dans les scènes de réalité augmentée
G06F 18/214 - Génération de motifs d'entraînement; Procédés de Bootstrapping, p.ex. ”bagging” ou ”boosting”
G06F 18/2413 - Techniques de classification relatives au modèle de classification, p.ex. approches paramétriques ou non paramétriques basées sur les distances des motifs d'entraînement ou de référence
G06V 10/774 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p.ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]; Séparation aveugle de source méthodes de Bootstrap, p.ex. "bagging” ou “boosting”
Aspects of the detailed technologies concern training and use of neural networks for fine-grained classification of large numbers of items, e.g., as may be encountered in a supermarket. Mitigating false positive errors is an exemplary area of emphasis. Novel network topologies are also detailed—some employing recognition technologies in addition to neural networks. A great number of other features and arrangements are also detailed.
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06F 18/214 - Génération de motifs d'entraînement; Procédés de Bootstrapping, p.ex. ”bagging” ou ”boosting”
G06F 18/22 - Critères d'appariement, p.ex. mesures de proximité
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p.ex. des objets vidéo
G06V 10/774 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p.ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]; Séparation aveugle de source méthodes de Bootstrap, p.ex. "bagging” ou “boosting”
G06V 10/776 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p.ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]; Séparation aveugle de source Évaluation des performances
G06V 10/46 - Descripteurs pour la forme, descripteurs liés au contour ou aux points, p.ex. transformation de caractéristiques visuelles invariante à l’échelle [SIFT] ou sacs de mots [BoW]; Caractéristiques régionales saillantes
G06V 20/00 - RECONNAISSANCE OU COMPRÉHENSION D’IMAGES OU DE VIDÉOS Éléments spécifiques à la scène
13.
Information-client server built on a rapid material identification platform
Items are identified in a waste stream for purposes of recycling, using deterministic and/or probabilistic techniques. Imagery of the waste stream from multiple viewpoints permit creation of a 3D depth draped image representation, from which one or more 2D planes can be synthesized. Phase-coherent patches of recoverable encoded data can be identified from among soiled and crumpled object surfaces, and used in combination to recover object identification information. Recognition of certain items can trigger further image processing that is specific to such items. (Detection of a catsup bottle, for example, can trigger image analysis to discern the presence of catsup residue.) Information about recognized objects can be provided to external data customers, e.g., to track grey market diversion of particular products into unlicensed territories. These and other features and advantages, which can be used alone or in combination, are detailed herein.
A surface is laser-etched to convey a 2D machine-readable code pattern. Various strategies are detailed to minimize the etching time. Some strategies include modifying the code pattern to reduce a path length traveled by the laser. Some strategies include modifying the code pattern to make it sub-optimal, i.e., making the code pattern a less-faithful approximation of an ideal code pattern. In some embodiments the etched surface is the surface of a plastic container, and the code pattern conveys information indicating the type of plastic of which the container is manufactured. A variety of other features and arrangements are also detailed.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. One claim is directed to a container comprising: a 3004 or 3003 aluminum alloy shell, the 3004 or 3003 aluminum alloy shell comprising an outer surface and an inner surface; a 5182 aluminum alloy lid attached to the 3004 or 3003 aluminum alloy shell; and an opaque ink printed on the outer surface in a 2-dimensional pattern according to a machine-readable signal. The outer surface and the opaque ink printed on the outer surface comprise a spectral reflectance difference at a machine-vision wavelength in a range of 8%-30%, and the machine-readable signal is detectable from imagery representing the opaque ink printed on the outer surface. Of course, other containers, technology, methods, packages, objects, systems and apparatus are described in this disclosure.
B41J 3/413 - Machines à écrire ou mécanismes d'impression ou de marquage sélectif caractérisés par le but dans lequel ils sont construits pour le marquage sur des matériaux particuliers pour le métal
B41M 3/00 - Procédés d'impression pour des travaux imprimés d'un genre particulier, p.ex. motifs
B41J 3/407 - Machines à écrire ou mécanismes d'impression ou de marquage sélectif caractérisés par le but dans lequel ils sont construits pour le marquage sur des matériaux particuliers
This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. One claim is directed to a container comprising: a 3004 or 3003 aluminum alloy shell, the shell comprising an outer surface and an inner surface; a first layer of transparent ink printed on the outer surface as a flood within a first region; a second layer of the transparent ink printed over the first layer of transparent ink within the first region, in which the second layer of the transparent ink is printed to include a plurality of holes without any transparent ink printed therein; an opaque ink printed within the plurality of holes of the second layer of transparent ink on first layer of transparent ink within the first region, in which: i) the outer surface/first layer/second layer, and ii) the outer surface/first layer/opaque ink comprise a spectral reflectance difference at a machine-vision wavelength in the range of 8%-35%, and in which the plurality of holes are arranged in a 2-dimensional pattern according to a machine-readable signal, the 2-dimensional pattern being machine-readable from imagery captured of the first region. Of course, other containers, methods, packages, objects, systems, technology and apparatus are described in this disclosure.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
B41J 3/413 - Machines à écrire ou mécanismes d'impression ou de marquage sélectif caractérisés par le but dans lequel ils sont construits pour le marquage sur des matériaux particuliers pour le métal
G06T 1/00 - Traitement de données d'image, d'application générale
B41J 3/407 - Machines à écrire ou mécanismes d'impression ou de marquage sélectif caractérisés par le but dans lequel ils sont construits pour le marquage sur des matériaux particuliers
B41M 3/00 - Procédés d'impression pour des travaux imprimés d'un genre particulier, p.ex. motifs
H04N 1/32 - Circuits ou dispositions pour la commande ou le contrôle entre l'émetteur et le récepteur
B65D 1/40 - Réceptacles rigides ou semi-rigides ayant des corps d'une seule pièce formés, p.ex. par coulage d'un matériau en métal, par moulage d'un matériau plastique, par soufflage d'un matériau vitreux, par coulage d'un matériau en céramique, par moulage d'un - Détails des parois
B65D 1/12 - Boîtes de conserves, barils, tonneaux ou fûts
17.
Color driven localization of 1D and 2D barcodes in digital capture systems
The present disclosure relates to color localizing machine-readable indicia (e.g., a 1D or 2D barcode) found in imagery, and related image processing technology. One implementation involves locating regions associated with a first color and locating regions associated with a second color and creating a centroid for each of the located regions. A metric can be established for a color region couple comprising a located first color region and a located second color region, the metric including: i) a distance between a located first color region centroid and a located second color region centroid, and ii) a ratio of areas of the located first color region and the located second color region. Of course, other implementations, technology and combinations are provided.
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
18.
Tamper detection arrangements, and point of sales systems employing same
Authenticity of a sticker (e.g., a mark-down sticker on a retail item), or integrity of a closure (e.g., on a delivery bag or package), is confirmed by reference to spatial information. In some embodiments a fingerprint is formed from parameters describing spatial placement of a sticker or pattern on a substrate. In some embodiments a digital watermark pattern provides a spatial frame of reference within which one or more other features can be located. A great many other features and arrangements are also detailed.
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
G06Q 30/018 - Certification d’entreprises ou de produits
In one aspect, a method of fast data compression operates on input data comprising plural J-bit bytes (e.g., 16-bit bytes). The method computes a first difference value between one pair of the input J-bit bytes, and determines that this first difference value can be represented by K bits, where K
H04N 19/127 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’élément, le paramètre ou la sélection affectés ou contrôlés par le codage adaptatif Établissement des priorités des ressources en matériel ou en calcul
H04N 19/46 - Inclusion d’information supplémentaire dans le signal vidéo pendant le processus de compression
H04N 5/232 - Dispositifs pour la commande des caméras de télévision, p.ex. commande à distance
H04N 19/97 - Codage par poursuite de correspondances
H04N 19/426 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques - caractérisés par les détails de mise en œuvre ou le matériel spécialement adapté à la compression ou à la décompression vidéo, p.ex. la mise en œuvre de logiciels spécialisés caractérisés par les dispositions des mémoires utilisant des procédés de diminution de taille de mémoire
A thermoplastic resin is molded to define a container bearing a surface 2D code signal, such as a digital watermark pattern. In some arrangements, the mold dimensions are tailored, and process parameters are selected, so that an indentation in the mold gives rise to a corresponding indentation—rather than a corresponding protrusion—in the shaped plastic. In other arrangements, a metal mold is provided with a patterned resin on its surface to define the 2D code signal. The resin may take the form of a rigid or non-rigid insert that can be removed or re-worked to change the code signal without changing the metal mold. A variety of other improvements and arrangements are also detailed.
B29C 49/42 - Moulage par soufflage, c. à d. en soufflant une préforme ou une paraison dans un moule pour obtenir la forme désirée; Appareils à cet effet - Eléments constitutifs, détails ou accessoires; Opérations auxiliaires
B29C 33/38 - Moules ou noyaux; Leurs détails ou accessoires caractérisés par la matière ou le procédé de fabrication
Digital watermarking is adapted for the variable data printing. A reference signal serves as a proxy for optimizing the embedding a watermark in a host image to be printed. Using the reference signal, embedding parameters are generated, which are a function of constraints such as visual quality and robustness of the machine readable data. Adjustments needed to embed a unique payload in each printed piece are generated using the embedding parameters. These adjustments are stored in a manner that enables them to be efficiently obtained and applied within the RIP or press during operation of the press. Various other methods, system configurations and applications are also detailed.
Image data depicting a 2D machine-readable code is up-sampled and compressed with a lossy compression process before being sent from a client device to a remote server for code reading. The remote server decompresses the sent information, extracts a payload from the machine-readable code, and causes result information to be sent back to the client device for display or other action. The up-sampling and compression operations performed on the client device can employ software instructions that are downloaded to, and executed by, browser software on the client device. Many other features and arrangements are also detailed.
H04N 19/132 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’élément, le paramètre ou la sélection affectés ou contrôlés par le codage adaptatif Échantillonnage, masquage ou troncature d’unités de codage, p.ex. ré-échantillonnage adaptatif, saut de trames, interpolation de trames ou masquage de coefficients haute fréquence de transformée
H04N 19/12 - Sélection parmi plusieurs transformées ou standards, p.ex. sélection entre une transformée en cosinus discrète [TCD] et une transformée en sous-bandes ou sélection entre H.263 et H.264
G06T 1/00 - Traitement de données d'image, d'application générale
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
23.
Methods and arrangements for optical code classification
An optical code reader classifies a code depicted in input imagery, so that appropriate decoding actions can be invoked. This classification may identify, e.g., (a) whether the code is of a continuous tone or sparse mark variety, (b) which one of different reference signals it includes, and (c) which one of different protocols is used in expressing reference and payload signal components of the code. A great variety of other features and technologies are detailed as well.
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06T 1/00 - Traitement de données d'image, d'application générale
24.
Methods and arrangements for enhanced digital signal detection
A method for transforming an input array of pixel data into an output array of data, to yield enhanced expression of a digital watermark signal in the output array. One such method includes, for each pixel in the input array, generating a first datum that indicates a value difference between said pixel and a neighboring pixel in a first direction, the first data thereby collectively comprising a first directional difference array. Similarly, for each such pixel in the input array, generating a second datum that indicates a value difference between said pixel and a neighboring pixel in a second direction, the second data thereby collectively comprising a second directional difference array. One or more transforms to a spatial frequency domain are then performed, using these first and second directional difference arrays as input data. First and second results from the one or more transformations are then combined to yield an output array. The just detailed process causes the digital watermark signal in the output array to exhibit a greater signal-to-noise ratio than in the digital watermark signal in the input array. A great number of other features and arrangements are also detailed.
An image processing method determines a geometric transform of a suspect image by efficiently evaluating a large number of geometric transform candidates in environments with limited processing resources. Processing resources are conserved by using complementary methods for determining a geometric transform of an embedded signal. One method excels at higher geometric distortion, and specifically, distortion caused by greater tilt angle of a camera. Another method excels at lower geometric distortion, for weaker signals. Together, the methods provide a more reliable detector of an embedded data signal in image across a larger range of distortion while making efficient use of limited processing resources in mobile devices.
G06T 1/00 - Traitement de données d'image, d'application générale
G06T 3/00 - Transformation géométrique de l'image dans le plan de l'image
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06T 3/40 - Changement d'échelle d'une image entière ou d'une partie d'image
A decade from now, a visit to the supermarket will be a very different experience than the familiar experiences of decades past. Product packaging will come alive with interactivity—each object a portal into a rich tapestry of experiences, with contributions authored by the product brand, by the store selling the product, and by other shoppers. The present technology concerns arrangements for authoring and delivering such experiences. A great variety of other features and technologies are also detailed.
In an illustrative system, a point-of-sale scanner is equipped to respond to multiple different symbologies printed on a single product. The scanner captures many frames per second, as products are swiped through a viewing volume. Each frame is decoded, yielding one or more payloads. A reconciliation module compares each newly-decoded payload against a list of payloads previously output by the module, to determine if the current payload is semantically-equivalent to a previously-output payload. If so, the previously-output payload is output again, in lieu of the just-decoded payload. If no equivalent is found, the current payload is output and added to the list for comparison against future payloads. A great number of other features and arrangements are also detailed.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
2D code patterns, such as digital watermark patterns, are formed on plastic objects by injection molding. In some implementations, a marked cell of the code pattern is not formed by a single mark on the mold surface, but by multiple discrete marks. Such marks can be exceedingly small (e.g., 50 microns or less—smaller than the width of a human hair), yet the resulting code pattern on the molded object is still readable from a distance. The small scale of the marks assures that the code pattern does not detract from object aesthetics, while also speeding the mold-marking process. Style transfer networks are employed in some implementations. The detailed technologies facilitate digital marking and identification of a great number of consumer plastic objects, thereby aiding recovery of such objects for recycling. Many other features and arrangements are also detailed.
The present disclosure relates to advanced image signal processing technology including: i) rapid localization for machine-readable indicia including, e.g., 1-D and 2-D barcodes; and ii) barcode reading and decoders. One claim recites: an image processing method comprising: obtaining 2-dimensional (2D) image data representing a 1-dimensional (1D) barcode within a first image area; generating a plurality of scanlines across the first image area; for each of the plurality of scanlines, synchronizing the scanline, including decoding an initial set of numerical digits represented by the scanline, in which said synchronizing provides a scale estimate for the scanline; using a path decoder to decode remaining numerical digits within the scanline, the path decoder decoding multiple numerical digits in groups, in which the scale estimate is adapted as the remaining numerical digits are decoded; and providing decoded numerical digits as an identifier represented by the scanline. Of course, other combinations and claims are described within the present disclosure.
G06V 30/224 - Reconnaissance de caractères caractérisés par le type d’écriture de caractères imprimés pourvus de marques de codage additionnelles ou de marques de codage
G06V 10/42 - Extraction de caractéristiques globales par l’analyse du motif entier, p.ex. utilisant des transformations dans le domaine de fréquence ou d’autocorrélation
H04N 19/44 - Décodeurs spécialement adaptés à cet effet, p.ex. décodeurs vidéo asymétriques par rapport à l’encodeur
H04N 19/90 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant des techniques de codage non prévues dans les groupes , p.ex. les fractales
The present disclosure relates generally to signal encoding for elements within PDF files. One implementation encodes an artwork element under different encoding conditions, and selects a winner version based on resulting signal robustness and/or visibility. Other implementations generate PDF layer masks to help determine overall embedding robustness, including interference from layered elements. Other implementations are provided too.
Optical code signal components are generated and then transformed into signal bearing art that conveys machine readable data. The components of an optical code are optimized to achieve improved signal robustness, reliability, capacity and/or visual quality. An optimization program can determine spatial density, dot distance, dot size and signal component priority to optimize robustness. An optical code generator transforms tiles of an optical code or image embedded with the optical code into signal-bearing art using stipple, Voronoi, Delaunay or other graphic drawing methods so as to retain prioritized components of the optical code. The optical code is merged into a host image, such as imagery, text and graphics of a package or label, or it may be printed by itself, e.g., on an otherwise blank label or carton. A great number of other features and arrangements are also detailed.
This disclosure relates to advanced signal processing technology including steganographic embedding and digital watermarking. One combination includes an image processing method comprising: obtaining data representing a digital image; using one or more processors, embedding an information signal within the data representing a digital image, the information signal comprising a synchronization component and a message component, said embedding yielding altered data; transforming the altered data to estimate a print and optical capture process, said transforming yielding transformed, altered data; for each of a plurality of regions within the transformed, altered data, generating detectability measures, in which a first detectability measure comprises a measure corresponding to synchronization component strength within region of the transformed, altered data, and in which a second measure comprises a measure corresponding to message component strength within the region of the transformed, altered data; based on a combination of the detectability measures from each of the plurality of regions, determining a likelihood that the altered data, once printed on a physical substrate, will be detectable from optical scan data representing such. Of course, other features and combinations are described as well.
This disclosure relates to advanced signal processing technology including signal encoding and digital watermarking. Image areas are selected in an encoded digital design, and corresponding areas from a printed version of the encoded digital design are evaluated to determined signal robustness after printing. One claim recites an image processing method for selecting image areas to test for robustness of encoded signals, the method comprising: obtaining digital artwork comprising a plurality of colors, the digital artwork comprising multiple instances of an encoded signal; selecting a set encoding tiles, and for each encoding tile determining encoding detectability measure associated therewith; creating a bin for each encoding technology used to encode the encoded signal; for each bin, removing any encoding tile having a detectability measure below a predetermined threshold; for each bin, prioritizing remaining encoding tiles; selecting an encoding tile based on the prioritization per bin, and spatially locating the selected encoding tile relative to the digital artwork. Other technology is described in this patent document.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06T 1/00 - Traitement de données d'image, d'application générale
A waste stream is analyzed and sorted to segregate different items for recycling. Certain features of the technology improve the accuracy with which waste stream items are diverted to collection repositories. Other features concern adaptation of neural networks in accordance with context information sensed from the waste. Still other features serve to automate and simplify maintenance of machine vision systems used in waste sorting. Yet other aspects of the technology concern marking 2D machine readable code data on items having complex surfaces (e.g., food containers with integral ribbing for structural strength or juice pooling), to mitigate issues that such surfaces can introduce in code reading. Still other aspects of the technology concern prioritizing certain blocks of conveyor belt imagery for analysis. Yet other aspects of the technology concern joint use of near infrared spectroscopy, artificial intelligence, digital watermarking, and/or other techniques, for waste sorting. A variety of further features and arrangements are also detailed.
B07C 5/342 - Tri en fonction d'autres propriétés particulières selon les propriétés optiques, p.ex. la couleur
B65G 47/26 - Dispositifs pour influencer la position relative ou l'orientation des objets pendant le transport par transporteurs arrangeant les objets, p.ex. faisant varier l'espace entre chaque objet
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
35.
MULTI-MODE AUDIO RECOGNITION AND AUXILIARY DATA ENCODING AND DECODING
Audio signal processing enhances audio watermark embedding and detecting processes. Audio signal processes include audio classification and adapting watermark embedding and detecting based on classification. Advances in audio watermark design include adaptive watermark signal structure data protocols, perceptual models, and insertion methods. Perceptual and robustness evaluation is integrated into audio watermark embedding to optimize audio quality relative the original signal, and to optimize robustness or data capacity. These methods are applied to audio segments in audio embedder and detector configurations to support real time operation. Feature extraction and matching are also used to adapt audio watermark embedding and detecting.
G10L 19/018 - Mise en place d’un filigrane audio, c. à d. insertion de données inaudibles dans le signal audio
G10L 19/02 - Techniques d'analyse ou de synthèse de la parole ou des signaux audio pour la réduction de la redondance, p.ex. dans les vocodeurs; Codage ou décodage de la parole ou des signaux audio utilisant les modèles source-filtre ou l’analyse psychoacoustique utilisant l'analyse spectrale, p.ex. vocodeurs à transformée ou vocodeurs à sous-bandes
36.
Data hiding through optimization of color error and modulation error
The present disclosure relates generally to data hiding for retail product packaging and other printed objects such as substrates. One embodiment embeds an information signal in a spot color for printing on various substrates. The spot color is screened, and overprinted with process color tint. The tint is modulated prior to overprinting with optimized signal tweaks. The optimization can include consideration of a detector spectral dependency (e.g., red and/or green illumination). Many other embodiments and combinations are described in the subject patent document.
G06T 7/90 - Détermination de caractéristiques de couleur
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
H04N 1/32 - Circuits ou dispositions pour la commande ou le contrôle entre l'émetteur et le récepteur
G06V 10/56 - Extraction de caractéristiques d’images ou de vidéos relative à la couleur
G06V 30/224 - Reconnaissance de caractères caractérisés par le type d’écriture de caractères imprimés pourvus de marques de codage additionnelles ou de marques de codage
G06T 1/00 - Traitement de données d'image, d'application générale
H04N 1/62 - Retouches, c.à d. modification de couleurs isolées uniquement ou dans des zones d'image isolées uniquement
37.
SERIALIZED DIGITAL WATERMARKING FOR VARIABLE DATA PRINTING
Variable data printing workflows are enhanced for use with content that includes 2D code patterns, such as digital watermark data. One arrangement includes applying a filter to a content stream within a PDF document to extract both first variable pattern data for a first watermark pattern and second variable pattern data for a second watermark pattern. A first composite watermark pattern is then defined based on the extracted first variable watermark pattern data in conjunction with static watermark pattern data, and a second composite watermark pattern is defined based on the extracted second variable watermark pattern data in conjunction with the static watermark pattern data. A variety of other features and arrangements are also detailed.
Consumer product labels sometime include 2D machine readable codes, such as digital watermark patterns. When such label artwork is printed on a plastic sleeve that is then heat-shrunk to conform to a plastic container, the code can become distorted and unreadable. Various techniques are detailed to cope with this problem. Additionally, methods are disclosed to assess—before a heat-shrink label is applied to a product—the expected final readability of any machine readable code included in the label artwork. A variety of other features and arrangements are also detailed.
A vector graphics file includes at least one artwork layer and at least one watermark layer. The watermark layer comprises a pattern of vector graphics primitives, each of which is filled with a color that is a tinted variant of the color of the location in the artwork that the primitive overlies. Such layered arrangement enables the watermark to be added or omitted, and varied in strength, payload and appearance, at will. Yet the artwork is left unchanged through such manipulations. In some embodiments the watermark conveys a multi-symbol Global Trade Item Number (GTIN), and the file is used to generate a label or packaging for a food or general merchandise retail item. A great number of other arrangements, features and advantages are also detailed.
A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements—some involving designing classifiers so as to combat classifier copying—are also detailed.
In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.
G06V 10/147 - Caractéristiques optiques de l’appareil qui effectue l’acquisition ou des dispositifs d’éclairage - Détails de capteurs, p.ex. lentilles de capteurs
G06V 20/20 - RECONNAISSANCE OU COMPRÉHENSION D’IMAGES OU DE VIDÉOS Éléments spécifiques à la scène dans les scènes de réalité augmentée
G06V 30/224 - Reconnaissance de caractères caractérisés par le type d’écriture de caractères imprimés pourvus de marques de codage additionnelles ou de marques de codage
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06V 10/40 - Extraction de caractéristiques d’images ou de vidéos
G06F 3/147 - Sortie numérique vers un dispositif de visualisation utilisant des panneaux de visualisation
G06Q 10/08 - Logistique, p.ex. entreposage, chargement ou distribution; Gestion d’inventaires ou de stocks
A method for transforming an input array of pixel data into an output array of data, to yield enhanced expression of a digital watermark signal in the output array. One such method includes, for each pixel in the input array, generating a first datum that indicates a value difference between said pixel and a neighboring pixel in a first direction, the first data thereby collectively comprising a first directional difference array. Similarly, for each such pixel in the input array, generating a second datum that indicates a value difference between said pixel and a neighboring pixel in a second direction, the second data thereby collectively comprising a second directional difference array. One or more transforms to a spatial frequency domain are then performed, using these first and second directional difference arrays as input data. First and second results from the one or more transformations are then combined to yield an output array. The just detailed process causes the digital watermark signal in the output array to exhibit a greater signal-to-noise ratio than in the digital watermark signal in the input array. A great number of other features and arrangements are also detailed.
This disclosure relates to advanced signal processing technology including steganographic embedding and digital watermarking. One combination disclosed in the description includes an image processing method. The method includes: obtaining an image comprising a plurality of color channels; for each color channel of the plurality of color channels, creating a grayscale version of the color channel and creating an inverted greyscale version of the color channel; analyzing the grayscale inverted version and the grayscale non-inverted version to locate image areas including an encoded signal, said analyzing yielding a plurality of image areas; generating one or more detectability measures corresponding to the encoded signal for each of the plurality of image areas; for each color channel selecting only one (1) image area as a validation point based on one or more generated detectability measures for that color channel; and generating information associated with a spatial location of each of the validation points in the image. Of course, other features and combinations are described as well.
G06K 7/10 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire
G06T 1/00 - Traitement de données d'image, d'application générale
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06V 10/50 - Extraction de caractéristiques d’images ou de vidéos en utilisant l’addition des valeurs d’intensité d’image; Analyse de projection
44.
DETERMINING SPATIAL DISTANCE USING ENCODING SIGNALS
The present disclosure relates generally to signal encoding for containers such as shipping boxes, food containers, wrapped items such as pallets. One aspect of the technology relates to an image processing method for determining spatial dimensions of an encoded surface. The method comprises: obtaining an image depicting the encoded surface, in which the encoded surface comprises one or more raw data signal tiles printed thereon, with each tile comprising a side length N in inches or centimeters; detecting each of the one or more raw data signal tiles from the obtained image; determining a total number of tiles in a vertical direction, and determining a total number of tiles in a horizontal direction; determining a height and length of the encoded surface by multiplying each of the total number of tiles in a vertical direction and the total number of tiles in a horizontal direction by the side length N. Other aspects are described as well.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
B65H 7/14 - Commande de l'alimentation en articles, de l'enlèvement des articles, de l'avance des piles ou d'appareils associés permettant de tenir compte d'une alimentation incorrecte, de la non présence d'articles ou de la présence d'articles défectueux par palpeurs ou détecteurs par palpeurs ou détecteurs photo-électriques
45.
Color managed embedding system for embedding signals in color artwork
The present disclosure relates generally to signal encoding. Digital files representing artwork for printed objects, e.g., product packaging, labels and hangtags, can be encoded to carry information. One implementation obtains a color image representing CMY color channels, and alters the color image to include an encoded signal by altering values representing CIELAB a* and b*, all the while keeping L* on or within a predetermined tolerance of a contour representing a constant value. Other implementations are provided.
This disclosure relates to image signal processing technology including signal encoding. One claim recites a method of detecting plural-bit code conflicts within an image, the image includes at least one color separation. The image includes a first plural-bit code carried by a first symbology, and a second plural-bit code carried by a second symbology, the first symbology and the second symbology comprising different symbology types. The method includes: accessing a subset of the image that comprises the first plural-bit code carried by the first symbology; analyzing the subset of the image to decode the first plural-bit code; analyzing the at least one color separation to spatially locate and decode the second plural-bit code carried by the second symbology; comparing the first plural-bit code and the second plural-bit code; and outputting information if a conflict is identified by said act of comparing, in which the information comprises a spatial location within the image of the conflict. Of course, other claims, features and combinations are described as well.
In an illustrative embodiment, watermark decoding reliability is increased, for images of watermarked objects captured at close distances, by reducing influence of pixel noise (e.g., shot noise). In the same or different embodiment, watermark decoding reliability is increased, for images of watermarked objects captured from far distances, by reducing image under-sampling. A particular implementation down-samples input imagery twice—a first time by a fixed factor, preparatory to performing an FFT, and a second time by a variable factor, preparatory to submitting the image for decoding, where the variable factor is determined using results from the FFT. A number of other features and arrangements are also detailed.
Signal processing devices and methods estimate a geometric transform of an image signal. From a seed set of transform candidates, a direct least squares method applies a seed transform candidate to a reference signal and then measures correlation between the transformed reference signal and an image signal in which the reference signal is encoded. Geometric transform candidates encompass differential scale and shear, which are useful in approximating a perspective transform. For each candidate, update coordinates of reference signal features are identified in the image signal and provided as input to a least squares method to compute an update to the transform candidate. The method iterates so long as the update of the transform provides a better correlation. At the end of the process, the method identifies a geometric transform or set of top transforms based on a further analysis of correlation, as well as other results. Phase characteristics are exploited in the process of updating coordinates and measuring correlation. The geometric transform is used as an approximation of the geometric distortion of an image after digital data is encoded in it, and is used to compensate for this distortion to facilitate extracting embedded digital messages from the image. Due to the errors in the approximation, a signal confidence metric is determined and used to weight message symbol estimates extracted from the image.
G06T 1/00 - Traitement de données d'image, d'application générale
G06V 10/75 - Appariement de motifs d’image ou de vidéo; Mesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexte; Sélection des dictionnaires
G06T 3/00 - Transformation géométrique de l'image dans le plan de l'image
49.
2D MACHINE-READABLE CODE COUNTERPARTS, AND METHODS
In one aspect, a 2D machine readable code is mimicked by a collection of graphic elements. This can involve choosing a location, within an input 2D code block, at which correlation between a first graphic element and the input 2D code block is maximized. An area around this location is then disqualified from further consideration. A second location is next chosen, within the input 2D code block but outside the disqualified area, at which correlation between a second graphic element and the input 2D code block is maximized. The process continues in this fashion, adding graphics and removing additional areas from consideration, until a threshold number of graphic elements has been placed. The elements are then assembled in their corresponding locations to yield a composite image block that provides features mimicking that of the input 2D code block, thereby enabling the composite image block to be decoded by a compliant code reader. A great variety of other signal rich art arrangements are also detailed.
In one aspect, an elongated lighting module includes plural colors of LEDs that flash in a cyclical sequence to provide multi-spectral illumination. Several such modules can be arranged end-to-end to span a conveyor system that transports a stream of plastic waste items in a recycling center, enabling capture of differently-illuminated image frames depicting the items. Each module may include N LEDs of a first color (e.g., red) and M LEDs of a second color (e.g., blue), where N and M are different. Drive circuitry can be simplified by configuring the LEDs in strings of common colors, but with different counts. Electrical noise due to switching transients can be reduced by operating the LEDs at a low current when not being flashed. A great variety of other features and arrangements are also detailed.
A steganographic digital watermark signal is decoded from host imagery without requiring a domain transformation for signal synchronization, thereby speeding and simplifying the decoding operation. In time-limited applications, such as in supermarket point-of-sale scanners that attempt watermark decode operations on dozens of video frames every second, the speed improvement allows a greater percentage of each image frame to be analyzed for watermark data. In battery-powered mobile devices, avoidance of repeated domain transformations extends battery life. A great variety of other features and arrangements, including machine learning aspects, are also detailed.
G06T 1/00 - Traitement de données d'image, d'application générale
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
G06T 7/32 - Détermination des paramètres de transformation pour l'alignement des images, c. à d. recalage des images utilisant des procédés basés sur la corrélation
G06T 3/00 - Transformation géométrique de l'image dans le plan de l'image
52.
ROBUST ENCODING OF MACHINE READABLE INFORMATION IN HOST OBJECTS AND BIOMETRICS, AND ASSOCIATED DECODING AND AUTHENTICATION
This disclosure details image and audio signal processing methods and associated equipment to robustly encode transaction parameters in rendered displays, printed objects and audio. It also details corresponding decoding methods and equipment to recover these parameters. Further, it details object authentication processing and equipment to validate a transaction for an object, employing a trust network protocol for maintaining a trusted transaction history of the object. Various alternative forms of this technology are described.
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
H04L 9/32 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
G10L 19/018 - Mise en place d’un filigrane audio, c. à d. insertion de données inaudibles dans le signal audio
Inventory on a rack of store shelves is monitored by a camera-equipped system that senses when items have been removed. Image data is desirably sensed at plural spectral bands, to enhance item identification by digital watermark and/or other image recognition techniques. The system can be alert to the presence of nearby shoppers, and change its mode of operation in response, e.g., suppressing flash illumination or suspending image capture. The system may self-calibrate to the geometry of shelving in its field of view, and affine-correct captured imagery based on the camera's viewpoint. A great many other features and arrangements are also detailed.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
H04N 5/235 - Circuits pour la compensation des variations de la luminance de l'objet
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
A plastic item, such as a beverage bottle, can convey two distinct digital watermarks, encoded using two distinct signaling protocols. A first, printed label watermark conveys a retailing payload, including a Global Trade Item Number (GTIN) used by a point-of-sale scanner in a retail store to identify and price the item when presented for checkout. A second, plastic texture watermark may convey a recycling payload, including data identifying the composition of the plastic. The use of two different signaling protocols assures that a point-of-sale scanner will not spend its limited time and computational resources working to decode the recycling watermark, which may lack data needed for retail checkout. In some embodiments, a recycling apparatus makes advantageous use of both types of watermarks to identify the plastic composition of the item (e.g., relating GTIN to plastic type using an associated database), thereby increasing the fraction of items that are correctly identified for sorting and recycling. In other embodiments the plastic item (or a label thereon) bears only a single watermark. A great number of other features and arrangements are also detailed.
The present disclosure relates to signal decoding and icon (e.g., a logo, shape, icon, etc.) detection. In some implementations, a series of filters are applied to scanlines to determine whether an icon is present. Other aspects, combinations and implementations are described as well.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
This disclosure relates to advanced signal processing technology including signal encoding and digital watermarking. Image areas are selected in an encoded digital design, and corresponding areas from a printed version of the encoded digital design are evaluated to determined signal robustness after printing. One claim recites an image processing method for selecting image areas to test for robustness of encoded signals, the method comprising: obtaining digital artwork comprising a plurality of colors, the digital artwork comprising multiple instances of an encoded signal; selecting a set encoding tiles, and for each encoding tile determining encoding detectability measure associated therewith; creating a bin for each encoding technology used to encode the encoded signal; for each bin, removing any encoding tile having a detectability measure below a predetermined threshold; for each bin, prioritizing remaining encoding tiles; selecting an encoding tile based on the prioritization per bin, and spatially locating the selected encoding tile relative to the digital artwork. Other technology is described in this patent document.
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06T 1/00 - Traitement de données d'image, d'application générale
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. One implementation is directed to a printed object comprising: a white substrate or background comprising a first area; an ink mixture printed at a first plurality of spatial locations within the first area, the ink mixture printed such that the first area comprises a second plurality of spatial locations without the ink mixture, the ink mixture comprising extender white and Green 7 ink, the ink mixture comprising a volume or weight ratio of 97.5% to 99.75% white extender and 2.5%-0.25% Green 7 ink; in which the first plurality of spatial locations is arranged in a pattern conveying an encoded signal, and in which the white substrate or background and the ink mixture comprise a spectral reflectivity difference at or around 660 nm in a difference range of 8%-30%. Of course, other implementations, methods, packages, systems and apparatus are described in this patent document.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06T 1/00 - Traitement de données d'image, d'application générale
The present disclosure relates generally to signal encoding for flexographic printing plates. One aspect is a flexographic, photopolymer printing plate having transparent layers to allow encoded signal printed or laser ablated thereon to be detectable from both sides of the printing plate. Another aspect is a flexographic, photopolymer printing plate having an encoded signal formed in a photocured layer. Still another aspect is a system for tracking such printing plates, including managing location, print impression count, location tracking, etc. Other aspects are described as well.
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06K 7/10 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire
B41N 99/00 - Matière non prévue dans les autres groupes de la présente sous-classe
B41N 1/12 - Clichés ou plaques d'impression; Matériaux à cet effet en une autre matière que la pierre ou le métal
59.
ARTWORK GENERATED TO CONVEY DIGITAL MESSAGES, AND METHODS/APPARATUSES FOR GENERATING SUCH ARTWORK
2D machine readable symbologies are stylized and made aesthetically-appealing, facilitating their use to convey plural-symbol data on product packaging and other articles. In some arrangements, a symbology is mimicked as a collage of excerpts from a style image (e.g., a photograph or other artwork). To human viewers, the stylized symbology resembles the style image, rather than the 2D symbology. A great variety of other features and arrangements are also detailed.
G06T 1/00 - Traitement de données d'image, d'application générale
H04N 1/32 - Circuits ou dispositions pour la commande ou le contrôle entre l'émetteur et le récepteur
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
60.
Recycling methods and systems, and related plastic containers
A plastic item, such as a beverage bottle, conveys two distinct digital watermarks, encoded using two distinct signaling protocols. A first, printed label watermark conveys a retailing payload, including a Global Trade Item Number (GTIN) used by a point-of-sale scanner in a retail store to identify and price the item when presented for checkout. A second, plastic texture watermark conveys a recycling payload, including data identifying the composition of the plastic. The use of two different signaling protocols assures that a point-of-sale scanner will not spend its limited time and computational resources working to decode the recycling watermark, which lacks the data needed for retail checkout. In some embodiments, a recycling apparatus makes advantageous use of both types of watermarks to identify the plastic composition of the item (e.g., relating GTIN to plastic type using an associated database), thereby increasing the fraction of items that are correctly identified for sorting and recycling. A great number of other features and arrangements are also detailed.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
B29B 17/02 - Séparation de matières plastiques des autres matières
G06F 21/16 - Traçabilité de programme ou de contenu, p.ex. par filigranage
G06Q 10/30 - Administration du recyclage ou de l’élimination des produits
G06V 10/143 - Détection ou éclairage à des longueurs d’onde différentes
G06V 10/60 - Extraction de caractéristiques d’images ou de vidéos relative aux propriétés luminescentes, p.ex. utilisant un modèle de réflectance ou d’éclairage
G09C 5/00 - Appareils ou méthodes de chiffrement ou de déchiffrement non prévus dans les autres groupes de la présente sous-classe, p.ex. comportant la dissimulation ou la déformation de données graphiques telles que dessins, messages écrits ou imprimés
H04N 21/2389 - Traitement de flux multiplexé, p.ex. cryptage de flux multiplexé
H04N 21/44 - Traitement de flux élémentaires vidéo, p.ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène MPEG-4
H04N 21/8358 - Génération de données de protection, p.ex. certificats impliquant des filigranes numériques
H04N 23/00 - Caméras ou modules de caméras comprenant des capteurs d'images électroniques; Leur commande
B29K 23/00 - Utilisation de polyalcènes comme matière de moulage
B29K 67/00 - Utilisation de polyesters comme matière de moulage
The present disclosure relates generally to signal encoding for elements within PDF files. One implementation encodes an artwork element under different encoding conditions, and selects a winner version based on resulting signal robustness and/or visibility. Other implementations generate PDF layer masks to help determine overall embedding robustness, including interference from layered elements. Other implementations are provided too.
The present disclosure relates generally to signal encoding for printed objects. One implementation selects an embed direction based on a minimal visibility axis of a 1 JND ellipse at a certain color center. One claim recites an apparatus comprising: memory for storing chromatic contrast sensitivity data representing multiple color encoding angles; one or more multi-core processors configured for: using the stored chromatic contrast sensitivity data, generating an ellipse around a first color center; and from the ellipse, determining a signal encode direction, the signal encode direction comprising an angle α representing a negative angle between the ‘a*’ axis in an CIELAB space and a direction of minimum sensitivity of an encoded signal, in which the angle α comprises −9 degrees≥α≥−25 degrees. Other technology described.
The present disclosure relates to signal processing such as image processing, signal encoding, digital watermarking and data hiding. One claim recites a method including: capturing imagery corresponding to a printed object with a red or blue illumination source, the red or blue illumination source having an illumination wavelength at or around 660 nm or an illumination wavelength in the range of 60 nm centered around 460 nm, said capturing imagery yielding captured data; wherein the printed object includes a clear coat printed thereon, the clear coat including a material that has a peak absorbance at or around 660 nm or in the range of 60 nm centered around 460 nm, the clear coat printed in a manner to convey an encoded plural-bit message, the encoded plural-bit message corresponding to product information; analyzing the captured data with one or more programmed multi-core processors to decode the encoded plural-bit message, said analyzing yielding the product information; and providing the product information as an output. Of course, other claims, technology and combinations are disclosed.
G06K 7/12 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant une longueur d'onde choisie, p.ex. pour lire des marques rouges et ignorer des marques bleues
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06T 1/00 - Traitement de données d'image, d'application générale
G07D 7/00 - Vérification spécialement adaptée à la détermination de l’identité ou de l’authenticité de papiers de valeur ou pour discriminer ceux qui sont inacceptables, p.ex. qui ne correspondent pas à une monnaie
The parameters of an optical code are optimized to achieve improved signal robustness, reliability, capacity and/or visual quality. An optimization program can determine spatial density, dot distance, dot size and signal component priority to optimize robustness. An optical code generator employs these parameters to produce an optical code at the desired spatial density and robustness. The optical code is merged into a host image, such as imagery, text and graphics of a package or label, or it may be printed by itself, e.g., on an otherwise blank label or carton. A great number of other features and arrangements are also detailed.
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
A surface is laser-etched to convey a 2D machine-readable code pattern. Various strategies are detailed to minimize the etching time. Some strategies include modifying the code pattern to reduce a path length traveled by the laser. Some strategies include modifying the code pattern to make it sub-optimal, i.e., making the code pattern a less-faithful approximation of an ideal code pattern. In some embodiments the etched surface is the surface of a plastic container, and the code pattern conveys information indicating the type of plastic of which the container is manufactured. A variety of other features and arrangements are also detailed.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
A thermoplastic resin, such as PET, is molded to define a 2D code signal, such as a digital watermark pattern. The mold can comprise an array of hole or spike features, some of which are directly vented to atmospheric pressure. A network of channels can link the other features to the directly-vented features, so all features are vented. A mold comprising spike features can form a digital watermark pattern on an item such that the watermark payload is decodable both from the side of the item that contacted the mold, and also from the opposite, non-contact side of the item. To aid entry of viscous thermoplastic among the very fine elemental features of a mold representing a watermark signal pattern, the features can be overlapped, forming a connected binary mark having larger features. A variety of other improvements and arrangements are also detailed.
B29C 59/02 - Façonnage de surface, p.ex. gaufrage; Appareils à cet effet par des moyens mécaniques, p.ex. par pressage
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
B29C 59/00 - Façonnage de surface, p.ex. gaufrage; Appareils à cet effet
67.
Scanner with control logic for resolving package labeling conflicts
An automatic object identification scanner is equipped with recognition units that provide detection results for objects and a controller that resolves potential conflicts in the results. One form of recognition unit detects product identifiers and flags in a digital payload that is encoded redundantly across packaging or labels applied to packaging. The controller gets detection results and evaluates them relative to a state data structure, which maintains state for identifiers obtained within a time interval, such as a timeout interval or waiting period after a detection result. Identifiers are reported to a POS system depending on logic that evaluates code priority and pending waiting periods.
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06K 7/10 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire
68.
Artwork generated to convey digital messages, and methods/apparatuses for generating such artwork
2D machine readable symbologies are stylized and made aesthetically-appealing, facilitating their use to convey plural-symbol data on product packaging and other articles. In some arrangements, symbologies are stylized by geometric transformations (e.g., by multiple rotation and/or mirroring operations) to develop tiles having organized geometric structures. Such stylized symbologies can be decoded by existing code readers. A great variety of other features and arrangements are also detailed.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06K 1/12 - Méthodes ou dispositions pour marquer les supports d'enregistrement sous la forme numérique autrement que par poinçonnage
This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. We disclose methods, systems and apparatus for selecting which ink(s) should be selected to carry an encoded signal for a given machine-vision wavelength for a retail package or other printed design. We also disclose retail product packages and other printed objects, and methods to generate such, including a sparse mark in a first ink and an overprinted ink flood in a second ink. The first ink and the second ink are related through tack and spectral reflectance difference. Of course, other methods, packages, objects, systems and apparatus are described in this disclosure.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06T 1/00 - Traitement de données d'image, d'application générale
H04N 1/32 - Circuits ou dispositions pour la commande ou le contrôle entre l'émetteur et le récepteur
70.
Methods and arrangements for triggering detection, image correction or fingerprinting
The present technology relates to image signal processing. One aspect of the present technology involves analyzing reference imagery gathered by a camera system to determine which parts of an image frame offer high probabilities of—relative to other image parts—containing decodable watermark data. Another aspect of the present technology whittles-down such determined image frame parts based on detected content (e.g., a cereal box) vs expected background within such determined image frame parts.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
H04N 1/32 - Circuits ou dispositions pour la commande ou le contrôle entre l'émetteur et le récepteur
G06T 1/00 - Traitement de données d'image, d'application générale
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06K 7/10 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire
71.
Predicting detectability and grading prior to printing
The present disclosure relates generally to image signal processing, including encoding signals for image data or artwork. A color blend/print model is used to predict signal detectability and visibility as is printed on a particular substrate, which facilitates object grading prior to print runs.
Two stages of a convolutional neural network are linked by an interconnect that effects a spatial transposition of array data. The spatial transposition can include rotation, scaling, or translation (e.g., in x- or y-directions). A parameter characterizing the transposition (e.g., a parameter identifying rotation angle) can be learned by the same training process that is also used to learn other network parameters, such as layer coefficients. Additionally, or alternatively, data input to a neural network comprises—for each pixel in a patch of imagery—plural data that each indicates a relationship between the value of the pixel, and the value of a neighboring pixel. Some such neural networks can be trained to indicate the presence of a digital watermark signal in the patch of imagery—or a parameter characterizing such a digital watermark signal. Other features and arrangements are also detailed.
This disclosure relates to counterfeit detection and deterrence using advanced signal processing technology including steganographic embedding and digital watermarking. Digital watermark can be used on consumer products, labels, logos, hang tags, stickers and other objects to provide counterfeit detection mechanisms.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
Watermarking is used to track and identify digital images. One claim includes acts of: processing obtained imagery to yield local image information, the local image information being inadequate to reveal a subject depicted in said obtained imagery, using the local image information, resolving geometric distortion of the imagery, the geometric distortion comprising scale and rotation, said resolving yielding geometrically resolved imagery, and detecting the encoded signal from the geometrically resolved imagery using secret detecting information. A great variety of other features and arrangements are also detailed.
G06T 1/00 - Traitement de données d'image, d'application générale
G09C 5/00 - Appareils ou méthodes de chiffrement ou de déchiffrement non prévus dans les autres groupes de la présente sous-classe, p.ex. comportant la dissimulation ou la déformation de données graphiques telles que dessins, messages écrits ou imprimés
H04W 12/033 - Protection de la confidentialité, p.ex. par chiffrement du plan utilisateur, p.ex. trafic utilisateur
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
H04L 9/14 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité utilisant plusieurs clés ou algorithmes
H04L 9/30 - Clé publique, c. à d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
75.
Recycling methods and systems, and related plastic containers
A plastic item, such as a beverage bottle, conveys two distinct digital watermarks, encoded using two distinct signaling protocols. A first, printed label watermark conveys a retailing payload, including a Global Trade Item Number (GTIN) used by a point-of-sale scanner in a retail store to identify and price the item when presented for checkout. A second, plastic texture watermark conveys a recycling payload, including data identifying the composition of the plastic. The use of two different signaling protocols assures that a point-of-sale scanner will not spend its limited time and computational resources working to decode the recycling watermark, which lacks the data needed for retail checkout. In some embodiments, a recycling apparatus makes advantageous use of both types of watermarks to identify the plastic composition of the item (e.g., relating GTIN to plastic type using an associated database), thereby increasing the fraction of items that are correctly identified for sorting and recycling. A great number of other features and arrangements are also detailed.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06F 21/16 - Traçabilité de programme ou de contenu, p.ex. par filigranage
G09C 5/00 - Appareils ou méthodes de chiffrement ou de déchiffrement non prévus dans les autres groupes de la présente sous-classe, p.ex. comportant la dissimulation ou la déformation de données graphiques telles que dessins, messages écrits ou imprimés
H04N 21/2389 - Traitement de flux multiplexé, p.ex. cryptage de flux multiplexé
H04N 21/44 - Traitement de flux élémentaires vidéo, p.ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène MPEG-4
H04N 21/8358 - Génération de données de protection, p.ex. certificats impliquant des filigranes numériques
H04N 23/00 - Caméras ou modules de caméras comprenant des capteurs d'images électroniques; Leur commande
76.
OBJECT IDENTIFICATION AND DEVICE COMMUNICATION THROUGH IMAGE AND AUDIO SIGNALS
Deterministic identifiers fuel reliable efficient capture of product discovery, purchase and consumption events, which in turn enable more reliable product recommendation, more accurate shopping list generation and in-store navigation. A mobile device, equipped with image and audio detectors, extracts product identifiers from objects, display screens and ambient audio. In conjunction with a cloud-based service, a mobile device application obtains product information and logs product events for extracted identifiers. The cloud service generates recommendations, and mapping for in-store navigation. The detectors also provide reliable and efficient product identification for purchase events, and post shopping product consumption events.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06N 7/00 - Agencements informatiques fondés sur des modèles mathématiques spécifiques
G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
77.
Human auditory system modeling with masking energy adaptation
A method for generating a psychoacoustic model from an audio signal transforms a block of samples of an audio signal into a frequency spectrum comprising frequency components. From this frequency spectrum, it derives group masking energies. These group masking energies each correspond to a group of neighboring frequency components in the frequency spectrum. For a group of frequency components, the method allocates the group masking energy to the frequency components in the group in proportion to energy of the frequency components within the group to provide adapted mask energies for the frequency components within the group, the adapted mask energies providing masking thresholds for the psychoacoustic model of the audio signal.
G10L 19/018 - Mise en place d’un filigrane audio, c. à d. insertion de données inaudibles dans le signal audio
G10L 25/48 - Techniques d'analyses de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier
G10L 21/007 - Changement de la qualité de la voix, p.ex. de la hauteur tonale ou des formants caractérisé par le procédé utilisé
This disclosure relates to advanced signal processing technology including signal encoding and image processing. One implementation describes an encoding system including a masking module. The masking module scales or eliminates signal encoding adjustments based on an image's luminance or chrominance values. Of course, other implementations, combinations and claims are also provided.
In an illustrative system, a point-of-sale scanner is equipped to respond to multiple different symbologies printed on a single product. The scanner captures many frames per second, as products are swiped through a viewing volume. Each frame is decoded, yielding one or more payloads. A reconciliation module compares each newly-decoded payload against a list of payloads previously output by the module, to determine if the current payload is semantically-equivalent to a previously-output payload. If so, the previously-output payload is output again, in lieu of the just-decoded payload. If no equivalent is found, the current payload is output and added to the list for comparison against future payloads. A great number of other features and arrangements are also detailed.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
80.
Arrangements for digital marking and reading of items, useful in recycling
Images depicting items in a waste flow on a conveyor belt are provided to two analysis systems. The first system processes images to decode digital watermark payload data found on certain of the items (e.g., plastic containers). This payload data is used to look up corresponding attribute metadata for the items in a database, such as the type of plastic in each item, and whether the item was used as a food container or not. The second analysis system can be a spectroscopy system that determines the type of plastic in each item by its absorption characteristics. When the two systems conflict in identifying the plastic type, a sorting logic processor applies a rule set to arbitrate the conflict and determine which plastic type is most likely. The item is then sorted into one of several different bins depending on a combination of the final plastic identification, and whether the item was used as a food container or not. A variety of other features and arrangements are also detailed.
G06T 7/90 - Détermination de caractéristiques de couleur
G06V 30/224 - Reconnaissance de caractères caractérisés par le type d’écriture de caractères imprimés pourvus de marques de codage additionnelles ou de marques de codage
B07C 5/34 - Tri en fonction d'autres propriétés particulières
B07C 5/342 - Tri en fonction d'autres propriétés particulières selon les propriétés optiques, p.ex. la couleur
B65G 47/49 - Dispositifs pour décharger les objets ou matériaux des transporteurs avec distribution, p.ex. automatique, aux points voulus selon des marques de destination portées soit par les objets, soit par les porte-charges sans contact matériel entre l'objet ou porte-charges et le dispositif automatique de commande
G05B 13/02 - Systèmes de commande adaptatifs, c. à d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
G06T 1/00 - Traitement de données d'image, d'application générale
H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c. à d. systèmes dans lesquels le signal vidéo n'est pas diffusé
G06F 18/21 - Conception ou mise en place de systèmes ou de techniques; Extraction de caractéristiques dans l'espace des caractéristiques; Séparation aveugle de sources
H04N 23/56 - Caméras ou modules de caméras comprenant des capteurs d'images électroniques; Leur commande munis de moyens d'éclairage
H04N 23/73 - Circuits de compensation de la variation de luminosité dans la scène en influençant le temps d'exposition
G06V 10/80 - Fusion, c. à d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p.ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersections; Analyse de connectivité, p.ex. de composantes connectées
G06V 10/58 - Extraction de caractéristiques d’images ou de vidéos relative aux données hyperspectrales
81.
Dynamic product tag based on an environmental condition
A computer that generates a product tag for a product is described. During operation, the computer may obtain information specifying multiple document locations associated with the product based at least in part on different environmental conditions of the product. Then, the computer may generate the product tag (or additional information specifying the product tag), where the product tag includes location information specifying the document locations. Moreover, given location information is associated with a given functional ink or is associated with a given state of a circuit in the product tag that is responsive to a given environmental condition. Furthermore, the environmental conditions for different functional inks or different states of the circuit are different, such that, at a given time, the product tag presents location information for a given one of the document locations. Next, the computer may provide the additional information specifying the product tag to the electronic device.
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06Q 10/087 - Gestion d’inventaires ou de stocks, p.ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes
G06F 16/955 - Recherche dans le Web utilisant des identifiants d’information, p.ex. des localisateurs uniformisés de ressources [uniform resource locators - URL]
Inventory on a rack of store shelves is monitored by a camera-equipped system that senses when items have been removed. Image data is desirably sensed at plural spectral bands, to enhance item identification by digital watermark and/or other image recognition techniques. The system can be alert to the presence of nearby shoppers, and change its mode of operation in response, e.g., suppressing flash illumination or suspending image capture. The system may self-calibrate to the geometry of shelving in its field of view, and affine-correct captured imagery based on the camera's viewpoint. A great many other features and arrangements are also detailed.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
H04N 5/235 - Circuits pour la compensation des variations de la luminance de l'objet
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
Mobile phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some aspects relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others concern user interface improvements. Other aspects relate to imaging architectures, in which a mobile phone's image sensor is one in a chain of stages that successively act on packetized instructions/data, to capture and later process imagery. Still other aspects relate to distribution of processing tasks between the mobile device and remote resources (“the cloud”). Elemental image processing (e.g., simple filtering and edge detection) can be performed on the mobile phone, while other operations can be referred out to remote service providers. The remote service providers can be selected using techniques such as reverse auctions, through which they compete for processing tasks. A great number of other features and arrangements are also detailed.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G08C 17/02 - Dispositions pour transmettre des signaux caractérisées par l'utilisation d'une voie électrique sans fil utilisant une voie radio
H04N 1/00 - Balayage, transmission ou reproduction de documents ou similaires, p.ex. transmission de fac-similés; Leurs détails
H04N 5/232 - Dispositifs pour la commande des caméras de télévision, p.ex. commande à distance
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06F 16/29 - Bases de données d’informations géographiques
G06F 16/583 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
G06F 16/58 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
G06F 16/9537 - Recherche à dépendance spatiale ou temporelle, p.ex. requêtes spatio-temporelles
G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation
G06F 16/955 - Recherche dans le Web utilisant des identifiants d’information, p.ex. des localisateurs uniformisés de ressources [uniform resource locators - URL]
Watermarking media content, in combination with blockchain and distributed storage networks, prevents the proliferation of Deepfake content. Digital watermarks are embedded in the audio and video tracks of video clips of trusted content producers at the time the videos are captured or before they are distributed. The watermarks are detected at the social media network's portals, nodes, and back ends. The embedded watermark imparts a unique identifier to the video, that links it to a blockchain. The watermarks also allow video source tracking, integrity verification, and alteration localization. The watermark detectors can be standalone software applications, or they can be integrated with other applications. They are used to perform three main tasks: (1) they alert the Internet user when he watches an inauthentic news video, so that he may discard it, (2) they prevent a Deepfake content from propagating through the network (3) they perform forensic analysis to help track and remove Deepfake content postings.
G06F 21/00 - Dispositions de sécurité pour protéger les calculateurs, leurs composants, les programmes ou les données contre une activité non autorisée
G06F 18/22 - Critères d'appariement, p.ex. mesures de proximité
G06F 21/16 - Traçabilité de programme ou de contenu, p.ex. par filigranage
G06T 1/00 - Traitement de données d'image, d'application générale
G06V 20/40 - RECONNAISSANCE OU COMPRÉHENSION D’IMAGES OU DE VIDÉOS Éléments spécifiques à la scène dans le contenu vidéo
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
G10L 19/018 - Mise en place d’un filigrane audio, c. à d. insertion de données inaudibles dans le signal audio
85.
Generating artistic designs encoded with robust, machine-readable data
Artwork carrying machine readable data is generated by editing artwork according to a data signal or transforming the data signal into artwork. The machine-readable data signal is generated from a digital payload and converted into an image tile. Artwork is edited according to the image tile by moving graphic elements, adapting intersections of lines, or altering line density, among other techniques. Artwork is generated from the data signal by skeletonizing it and applying morphological operators to a skeletal representation, such as a medial axis transform. Artistic effects are introduced by filtering the data signal with directional blurring or shape filters.
G06T 1/00 - Traitement de données d'image, d'application générale
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06T 3/20 - Translation linéaire d'une image entière ou d'une partie d'image, p.ex. décalage
A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements—some involving designing classifiers so as to combat classifier copying—are also detailed.
The present disclosure relates generally to signal encoding for printed objects. One implementation selects an embed direction based on a minimal visibility axis of a 1 JND ellipse at a certain color center. Other technology provided.
In one aspect, a retail store has multiple sensors, including item sensors in a shopping cart for gathering data from a shopper-selected first item. At least certain of the sensor data is provided to a classifier, which was previously-trained (using data including optical data from known items) to identify possible item matches corresponding to data sensed from the first item. An item identification hypothesis that the shopper-selected first item has a particular identity is evaluated based on (a) information from the classifier, and (b) store layout data indicating items associated with a store location visited by the cart or shopper. The item identification hypothesis has a confidence score. If the score meets a criterion, an item of the hypothesized identity is added to a shopping tally. A great number of other features and arrangements are also detailed.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 7/10 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06K 9/18 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales utilisant des caractères imprimés pourvus de marques de codage additionnelles ou comportant des marques de codage, p.ex. le caractère étant composé de barres distinctes de formes différentes, chacune représentant une valeur de code différente
In one aspect, a retail store includes a multitude of cameras, including a plurality of 3D cameras, and a plurality of other cameras. Certain of the cameras provide imagery from which a shopper's track through the store is monitored, and certain of the cameras are positioned to detect removal of items from store shelves. The store also includes a computer system that provides a database of information about store layout, indicating stock locations of different items. The computer system receives imagery from the cameras (or information derived from such imagery) and uses this data, together with information from the database and information derived from other sensors in the store, to produce a probabilistic tally of items selected by a store shopper. This tally includes an item bearing a barcode, but is produced without reading the barcode. Each item on the tally is associated with a confidence score that meets a computer system-determined threshold. A great number of other features and arrangements are also detailed.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 7/10 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06Q 10/08 - Logistique, p.ex. entreposage, chargement ou distribution; Gestion d’inventaires ou de stocks
G06Q 20/20 - Systèmes de réseaux présents sur les points de vente
G06V 10/147 - Caractéristiques optiques de l’appareil qui effectue l’acquisition ou des dispositifs d’éclairage - Détails de capteurs, p.ex. lentilles de capteurs
G06V 20/20 - RECONNAISSANCE OU COMPRÉHENSION D’IMAGES OU DE VIDÉOS Éléments spécifiques à la scène dans les scènes de réalité augmentée
G06V 30/224 - Reconnaissance de caractères caractérisés par le type d’écriture de caractères imprimés pourvus de marques de codage additionnelles ou de marques de codage
G06F 3/147 - Sortie numérique vers un dispositif de visualisation utilisant des panneaux de visualisation
G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
G06V 10/40 - Extraction de caractéristiques d’images ou de vidéos
The geometric pose of a patch of watermark data is estimated based on the position of a similar, but non-identical, patch of information within a data structure. The information in the data structure corresponds to a tiled array of calibration patterns that is sampled along at least three non-parallel paths. In a particular embodiment, the calibration patterns are sampled so that edges are globally-curved, yet locally-flat. Use of such information in the data structure enables enhanced pose estimation, e.g., speeding up operation, enabling pose estimation from smaller patches of watermark signals, and/or enabling pose estimation from weaker watermark signals. A great variety of other features and arrangements are also detailed.
This disclosure relates to advanced signal processing technology including steganographic embedding and digital watermarking. One combination disclosed in the description includes an apparatus comprising: memory storing an image comprising a plurality of color channels; means for locating image areas including an encoded signal with each color channel of the plurality of color channels, said means for locating identifying a plurality of image areas; means for generating one or more detectability measures corresponding to the encoded signal for each of the plurality of image areas; means for determining whether the encoded signal can be decoded from the plurality of image areas to obtain a plural-bit message component carried therein; means for selecting, per color channel, only one (1) image area as a validation point based on one or more generated detectability measures for that color channel, and based on whether the one (1) image area includes a decodable plural-bit message component; and means for generating information associated with a spatial location of each of the validation points in the image. Of course, other technology, features and combinations are described as well.
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06T 1/00 - Traitement de données d'image, d'application générale
G06K 7/10 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire
92.
Color managed embedding system for embedding signals in color artwork
The present disclosure relates generally to signal encoding for product packaging and other printed objects. One implementation utilizes a target reflectance value for image content combined with an encoded signal at or around 660 nm to guide color changes. Luminance change is controlled through opposing color shifts, while maintaining the target reflectance value. Other implementations are provided.
A smart phone senses audio, imagery, and/or other stimulus from a user's environment, and acts autonomously to fulfill inferred or anticipated user desires. In one aspect, the detailed technology concerns phone-based cognition of a scene viewed by the phone's camera. The image processing tasks applied to the scene can be selected from among various alternatives by reference to resource costs, resource constraints, other stimulus information (e.g., audio), task substitutability, etc. The phone can apply more or less resources to an image processing task depending on how successfully the task is proceeding, or based on the user's apparent interest in the task. In some arrangements, data may be referred to the cloud for analysis, or for gleaning. Cognition, and identification of appropriate device response(s), can be aided by collateral information, such as context. A great number of other features and arrangements are also detailed.
G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
G10L 17/00 - Identification ou vérification du locuteur
H04M 1/72448 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles avec des moyens permettant d’adapter la fonctionnalité du dispositif dans des circonstances spécifiques
H04M 1/72469 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles pour faire fonctionner le dispositif en sélectionnant des fonctions à partir de plusieurs éléments affichés, p.ex. des menus ou des icônes
G06V 10/75 - Appariement de motifs d’image ou de vidéo; Mesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexte; Sélection des dictionnaires
G06V 40/20 - Mouvements ou comportement, p.ex. reconnaissance des gestes
G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]
G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p.ex. dialogue homme-machine
H04W 72/02 - Sélection de ressources sans fil par un utilisateur ou un terminal
G06F 3/04842 - Sélection des objets affichés ou des éléments de texte affichés
G06F 3/04847 - Techniques d’interaction pour la commande des valeurs des paramètres, p.ex. interaction avec des règles ou des cadrans
G06F 3/0488 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p.ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p.ex. des gestes en fonction de la pression exer utilisant un écran tactile ou une tablette numérique, p.ex. entrée de commandes par des tracés gestuels
94.
Color managed embedding system for embedding signals in color artwork
The present disclosure relates generally to signal encoding for printed objects such as product packaging, labels and hangtags. One implementation obtains a color image representing CMY color channels, and alters the color image to include an encoded signal by altering values representing CIELAB a* and b*, all the while keeping L* on or within a predetermined tolerance of a contour representing a constant value. Other implementations are provided.
An image processing method determines a geometric transform of a suspect image by efficiently evaluating a large number of geometric transform candidates in environments with limited processing resources. Processing resources are conserved by using complementary methods for determining a geometric transform of an embedded signal. One method excels at higher geometric distortion, and specifically, distortion caused by greater tilt angle of a camera. Another method excels at lower geometric distortion, for weaker signals. Together, the methods provide a more reliable detector of an embedded data signal in image across a larger range of distortion while making efficient use of limited processing resources in mobile devices.
G06T 1/00 - Traitement de données d'image, d'application générale
G06T 3/00 - Transformation géométrique de l'image dans le plan de l'image
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06T 3/40 - Changement d'échelle d'une image entière ou d'une partie d'image
96.
Methods and arrangements for configuring retail scanning systems
The present technology relates to image signal processing. One aspect of the present technology involves analyzing reference imagery gathered by a camera system to determine which parts of an image frame offer high probabilities of—relative to other image parts—containing decodable watermark data. Another aspect of the present technology whittles-down such determined image frame parts based on detected content (e.g., a cereal box) vs expected background within such determined image frame parts.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
H04N 1/32 - Circuits ou dispositions pour la commande ou le contrôle entre l'émetteur et le récepteur
G06T 1/00 - Traitement de données d'image, d'application générale
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G06K 7/10 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire
This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. The technology may be applied to retail packages and other printed objects, e.g., such as hang tags, labels and receipts.
A decade from now, a visit to the supermarket will be a very different experience than the familiar experiences of decades past. Product packaging will come alive with interactivity—each object a portal into a rich tapestry of experiences, with contributions authored by the product brand, by the store selling the product, and by other shoppers. The present technology concerns arrangements for authoring and delivering such experiences. A great variety of other features and technologies are also detailed.
Differential modulation schemes encode a data channel within host signal or noisy environment in a manner that is robust, flexible to achieve perceptual quality constraints, and provides improved data capacity. Differential arrangements enable a decoder to suppress host signal or other background signal interference when detecting, synchronizing and extracting an encoded data channel. They also enable the incorporation of implicit or explicit synchronization components, which are either formed from the data signal or are complementary to it.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06T 1/00 - Traitement de données d'image, d'application générale
100.
Watermarking and signal recognition for managing and sharing captured content, metadata discovery and related arrangements
Content is identified using watermarking and/or other content recognition combined with contextual metadata, which facilitates identification and correlation with other content and metadata when it is posted to a network.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
H04L 51/52 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p.ex. courriel pour la prise en charge des services des réseaux sociaux
H04N 21/422 - Périphériques d'entrée uniquement, p.ex. système de positionnement global [GPS]
H04N 21/218 - Source du contenu audio ou vidéo, p.ex. réseaux de disques locaux
H04N 21/233 - Traitement de flux audio élémentaires
H04N 21/234 - Traitement de flux vidéo élémentaires, p.ex. raccordement de flux vidéo ou transformation de graphes de scènes MPEG-4
H04N 21/2665 - Rassemblement de contenus provenant de différentes sources, p.ex. Internet et satellite
H04N 21/2668 - Création d'un canal pour un groupe dédié d'utilisateurs finaux, p.ex. en insérant des publicités ciblées dans un flux vidéo en fonction des profils des utilisateurs finaux
H04N 21/2743 - Hébergement vidéo de données téléchargées à partir du dispositif client
G10L 19/018 - Mise en place d’un filigrane audio, c. à d. insertion de données inaudibles dans le signal audio
H04N 21/8358 - Génération de données de protection, p.ex. certificats impliquant des filigranes numériques
G06T 1/00 - Traitement de données d'image, d'application générale
H04N 21/462 - Gestion de contenu ou de données additionnelles, p.ex. création d'un guide de programmes électronique maître à partir de données reçues par Internet et d'une tête de réseau ou contrôle de la complexité d'un flux vidéo en dimensionnant la résolution o
H04N 21/658 - Transmission du client vers le serveur
H04N 21/4788 - Services additionnels, p.ex. affichage de l'identification d'un appelant téléphonique ou application d'achat communication avec d'autres utilisateurs, p.ex. discussion en ligne
brevets
