Abstract:
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.
Abstract:
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.
Abstract:
The present document provides image processing methods and apparatus. One claim recites: obtaining a signal to be encoded in color image data, the signal comprising a plural-bit payload; predicting a resulting color of overprinting several inks on a substrate, the overprinting representing the color image data encoded with the signal; using the resulting color for both i) visibility evaluation of the overprinting, and ii) signal robustness evaluation of the overprinting as seen by an imaging device. Other claims and combinations are provided.
Abstract:
A variety of technologies having practical application in retail stores are detailed. One is an improved method of identifying items selected by customers. This method includes receiving sensor data from plural sensors, including (a) ceiling-mounted cameras that monitor tracks of customers through aisles of the store, and (b) inventory sensors that are positioned to monitor removal of stock from store shelves. This received sensor data is employed in evaluating plural alternate item identification hypotheses. These hypotheses include a first hypothesis that a customer selected an item having a first identity, and a second hypothesis that the customer selected an item having a second identity. A confidence score is associated with each of the first and second item selection hypotheses. These confidence scores are refined as sensor data is received, e.g., increasing a confidence score of one hypothesis, and reducing a confidence score of another. Such refining continues until one of the hypotheses becomes a winner, due to an associated confidence score fulfilling a predetermined criterion (e.g., reaching a threshold value), at which time the item can be added to a tally for that individual. The winning item identification hypothesis may identify a barcoded item, without that item's barcode ever having been read by a barcode reader. A great number of other features and arrangements are also detailed.
Abstract:
In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery of such packaging is analyzed to detect digital watermarking. One claim recites a method utilized at a retail checkout location comprising: receiving imagery representing a packaged item from a digital camera, the packaged item including digital watermarking hidden on its packaging, the packaged item moving relative to the digital camera; determining a region in the imagery corresponding to at least one relatively faster moving object; arranging watermark detection blocks over the determine region; an detecting the digital watermarking from the watermark detection blocks. Of course other claims and combinations are also provided.
Abstract:
The present disclosure relates generally to encoding signals for spot colors. In one implementation a substitute spot color+CMY tint is selected to replace an original spot color. The CMY tint can be transformed to carry an encoded signal. Of course, other features, combinations and technology are described herein.
Abstract:
In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery of such packaging can be analyzed to detect digital watermarking. One claim recites a method comprising: receiving imagery representing two packaged item from a digital camera, each of the packaged items including digital watermarking encoded in packaging on the items; each of the packaged items including digital watermarking encoded in packaging on the items; using one or more programmed electronic processors, analyzing the imagery to detect the digital watermarking; accessing a spatial template associated with the digital watermarking when two or more instances of digital watermarking are detected in a single image frame; comparing spatial areas containing the two or more instances of digital watermarking within the imagery to the spatial template; carrying out an action based on the comparing. Of course, other claims, methods, apparatus and systems are described in this patent document.
Abstract:
The present disclosure relates generally to encoding signals for spot colors. In one implementation a substitute spot color+CMY tint is selected to replace an original spot color. The CMY tint can be transformed to carry an encoded signal. Of course, other features, combinations and technology are described herein.
Abstract:
The present disclosure relate generally to image signal processing, color science and signal encoding. Digital watermarking can be applied to color image data through use of a luminance contrast sensitivity function and a chrominance contrast sensitive function. Of course, other features, combinations and claims are disclosed as well.
Abstract:
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.