Abstract: This disclosure relates to advanced signal processing technology including steganographic embedding and digital watermarking.

Abstract: The technology relates to advanced image signal processing.

Abstract: 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.

Abstract: The present disclosures relates to finding or localizing machine readable indicia (e.g., a barcode or digital watermark) in imagery. One claim recites an apparatus comprising: memory for buffering blocks of image data, the image data having been captured with a camera and depicting a printed object; one or more processors programmed for: generating an edge orientation sensitive feature set from the image data; using a first trained classifier to determine whether the feature set includes data representing a barcode; and using N additional trained classifiers to determine an orientation angle associated with the barcode, wherein N comprises an integer greater than 3, and wherein the orientation angle is selected based on a probability metric. Of course, other claims and combinations are provided too.

Abstract: Methods and arrangements involving electronic devices, such as smartphones, tablet computers, wearable devices, etc., are disclosed. One arrangement involves a low-power processing technique for discerning cues from audio input. Another involves a technique for detecting audio activity based on the Kullback-Liebler divergence (KLD) (or a modified version thereof) of the audio input. Still other arrangements concern techniques for managing the manner in which policies are embodied on an electronic device. Others relate to distributed computing techniques. A great variety of other features are also detailed.

Abstract: The present disclosures relates generally to image signal processing and encoding signal within imagery. One claim recites a method comprising: obtaining data representing captured imagery, the captured imagery depicting packaging including digital watermarking, the digital watermarking including an orientation signal that is detectable in a transform domain; generating a n-dimensional feature set of the data representing captured imagery, the n-dimensional feature set representing the captured imagery in a spatial domain, where n is an integer great than 13; using a trained classifier to predict the presence of the orientation signal in a transform domain from the feature set in the spatial domain. Of course, other claims and combinations are provided too.

Abstract: The present disclosure relates to signal processing such as image processing, signal encoding, digital watermarking and data hiding. A sparse or dense digital watermark signal can be conveyed with a narrow-band absorption material corresponding to a center wavelength of a Point of Sale (POS) barcode scanner. The POS barcode scanner typically captures 2D imagery. Since the narrow-band absorption material absorbs over a narrow-band it is relatively imperceptible to the Human Visual System (HVS) but can be seen by the POS scanner.

Abstract: The present disclosure relates to advanced signal processing including signal embedding, digital watermarking and steganography.

Abstract: This disclosure relates to advanced signal processing technology including signal encoding.

Abstract: The present disclosures relates to finding or localizing machine readable indicia (e.g., a barcode or digital watermark) in imagery. One claim recites an apparatus comprising: memory for buffering blocks of image data, the image data having been captured with a camera and depicting a printed object; one or more processors programmed for: generating an edge orientation sensitive feature set from the image data; using a first trained classifier to determine whether the feature set includes data representing a barcode; and using N additional trained classifiers to determine an orientation angle associated with the barcode, wherein N comprises an integer greater than 3, and wherein the orientation angle is selected based on a probability metric. Of course, other claims and combinations are provided too.

Abstract: Methods and arrangements involving electronic devices, such as smartphones, tablet computers, wearable devices, etc., are disclosed. One arrangement involves a low-power processing technique for discerning cues from audio input. Another involves a technique for detecting audio activity based on the Kullback-Liebler divergence (KLD) (or a modified version thereof) of the audio input. Still other arrangements concern techniques for managing the manner in which policies are embodied on an electronic device. Others relate to distributed computing techniques. A great variety of other features are also detailed.

Abstract: The present disclosure relates to signal processing such as digital watermarking and data hiding. A sparse or dense digital watermark signal can be conveyed with a narrow-band absorption material corresponding to a center wavelength of a Point of Sale (POS) barcode scanner. The POS barcode scanner typically captures 2D imagery. Since the narrow-band absorption material absorbs over a narrow-band it is relatively imperceptible to the Human Visual System (HVS) but can be seen by the POS scanner.

Abstract: Sparse signal modulation schemes encode a data channel on a substrate in a manner that is robust, flexible to achieve perceptual quality constraints, and provides improved data capacity. The substrate is printed by any of a variety of means to apply the image, with sparse signal, to an object. After image capture of the object, a decoder processes the captured image to detect and extract data modulated into the sparse signal. The sparse signal may incorporate implicit or explicit synchronization components, which are either formed from the data signal or are complementary to it.

Abstract: The present disclosure relates to advanced signal processing including digital watermarking and steganography. One method includes: obtaining image data representing imagery in a first color mode; steganographically embedding a watermark signal into the image data, thereby generating watermarked image data; obtaining reader data representing an input color mode of a reader configured to detect or decode the watermarked image data, wherein the input color mode is different from the first color mode; transforming the watermarked image data from the first color mode to the input color mode; estimating a signal strength of the watermark signal within the transformed watermark image data; and visually displaying the estimated signal strength. The estimated signal strength can be visually displayed as a multi-color heat map. Of course, other combinations are described as well.

Abstract: This disclosure relates to advanced signal processing technology including steganographic embedding and digital watermarking. One combination disclosed in the description is an image processing apparatus including: electronic memory for storing an image, in which the image comprises at least a 1D or 2D barcode represented therein and a first encoded signal encoded therein, the 1D or 2D barcode comprising a first plural-bit code and the first encoded signal comprising a second plural-bit code; means for decoding the 1D or 2D barcode from the image to obtain the first plural-bit code; means for analyzing data representing the image to obtain the second plural-bit code from the first encoded signal; means for determining whether the second plural-bit code conflicts with the first plural-bit code; and means for generating a conflict map, the conflict map comprising an identification of a code conflict, and a spatial location of the code conflict relative to the image.

Abstract: Sparse signal modulation schemes encode a data channel on a host image in a manner that is robust, flexible to achieve perceptual quality constraints, and provides improved data capacity. The host image is printed by any of a variety of means to apply the image, with sparse signal, to an object. After image capture of the object, a decoder processes the captured image to detect and extract data modulated into the sparse signal. The sparse signal may incorporate implicit or explicit synchronization components, which are either formed from the data signal or are complementary to it.

Abstract: The present disclosures relates generally to image signal processing and encoding signal within imagery. One claim recites a method comprising: obtaining data representing captured imagery, the captured imagery depicting packaging including digital watermarking, the digital watermarking including an orientation signal that is detectable in a transform domain; generating a n-dimensional feature set of the data representing captured imagery, the n-dimensional feature set representing the captured imagery in a spatial domain, where n is an integer great than 13; using a trained classifier to predict the presence of the orientation signal in a transform domain from the feature set in the spatial domain. Of course, other claims and combinations are provided too.

Abstract: The present disclosure relates to advanced image processing and encoded signal processing.

Abstract: Methods and arrangements involving electronic devices, such as smartphones, tablet computers, wearable devices, etc., are disclosed. One arrangement involves a low-power processing technique for discerning cues from audio input. Another involves a technique for detecting audio activity based on the Kullback-Liebler divergence (KLD) (or a modified version thereof) of the audio input. Still other arrangements concern techniques for managing the manner in which policies are embodied on an electronic device. Others relate to distributed computing techniques. A great variety of other features are also detailed.

Abstract: The present disclosures relates generally to digital watermarking and data hiding. One claim recites a method comprising: obtaining data representing captured imagery, the captured imagery depicting packaging including digital watermarking, the digital watermarking including an orientation signal that is detectable in a transform domain; generating a n-dimensional feature set of the data representing captured imagery, the n-dimensional feature set representing the captured imagery in a spatial domain, where n is an integer great than 13; using a trained classifier to predict the presence of the orientation signal in a transform domain from the feature set in the spatial domain. Of course, other claims and combinations are provided too.