Abstract: A method for scene frame matching for automatic content recognition. The method includes receiving fingerprints indicative of frames of a media stream. The method also includes obtaining scene centroids of corresponding scenes of the media stream. Each scene includes fingerprints ranging from an initial frame having a corresponding initial fingerprint and a last frame having a corresponding last fingerprint. Each scene centroid represents a mean of fingerprints corresponding to a respective scene. The mean of fingerprints is determined by an average of pixel values corresponding to the fingerprints of the respective scene. For each scene centroid, the method includes determining a distance between the respective scene centroid and a target fingerprint of a corresponding target frame of the media stream and determining a target scene of the target frame as being the respective scene of the scene centroid having a shortest distance to the target fingerprint of the target frame.

Abstract: An electronic apparatus includes a memory configured to store a plurality of images; and a processor configured to identify qualities of the plurality of images, process the plurality of images using at least one artificial intelligence model corresponding to the identified qualities, and obtain a graphic image including the processed plurality of images, and the at least one artificial intelligence model is trained to increase a quality of an input image.

Abstract: A method of stress compensation in a display device includes retrieving, by a decoder, compressed stress data that is quantized by a quantization value, decoding, by the decoder, the compressed stress data to generate decoded data, generating a dither value based on the quantization value, and adding the dither value to the decoded data to compensate for quantization of the compressed stress data.

Abstract: A vehicle camera module may include: an image sensor; and an image transmission processor that may determine whether to compress or not compress an image captured through the image sensor according to the format of the image or a preset option, and output the compressed or non-compressed image to an external image output device. The image sensor and the image transmission processor may be implemented as an integrated module.

Abstract: The present disclosure relates to a system and method of aligning a sensor assembly for a vehicle. The sensor assembly is disposed along a vehicle body and has a sensory face from which a measurement signal is transmitted. The sensor alignment system includes an alignment gauge that measures a datum angle of the sensor assembly, a sensor adjustment tool that adjusts a position of the sensor assembly relative to the vehicle body, and a controller that is in communication with the alignment gauge and the sensor adjustment tool. The controller further operates the sensor adjustment tool to control the datum angle of the sensor assembly to within a tolerance range.

Abstract: A video providing device for providing video content having a plurality of viewpoints, the device includes: a video storage unit operable to store a plurality of versions of a video for each of a plurality of the viewpoints in the video content, the videos being encoded such that each video includes a region of high resolution corresponding to that viewpoint, where a plurality of the videos each include the same region of high resolution, and each video having the same region of high resolution is encoded with a temporal offset of the group of pictures relative to those other videos with the same region of high resolution, the group of pictures offsets defining video switching times for each video, a viewpoint determining unit operable to determine a requested viewpoint in the video content, a timing identification unit operable to identify a next suitable video switching time from amongst the plurality of video switching times, a video selection unit operable to select a video with a high resolution region c

Abstract: Provided is a pattern generation device for generating a sampling pattern that could make it possible to improve the efficiency of image processing, including the processing of sampled blocks. A pattern generation device as in one embodiment of the present invention is provided with: a main generating means for generating a sampling pattern which is a pattern of positions of sampling points in an image, the sampling points indicating blocks to be used in image processing of the respective blocks, and the sampling pattern generated so that the numbers of sampling points in a plurality of rows in the sampling pattern are each equal to a reference value; and an output control means for performing a control for outputting a main sampling pattern, which is the sampling pattern generated by the main generating means.

Abstract: An image forming apparatus includes a processor configured to create a preview image of an image created by executing a job; store image data of the created preview image in a memory; create an information code representing a storage area of the memory where the image data is stored; and display the information code created by the processor on a display.

Abstract: A sequence of instructions is included in a graphics processing shader program for controlling the way in which blending is implemented. The sequence of instructions includes a blend instruction which determines whether blending for a processing item is to be performed by fixed-function blending hardware or by executing a blend shader routine. If blend shading is to be performed, a sequence of instructions for setting up and performing blend shading is executed. If fixed-function blending is to be performed, an execution thread initiates fixed-function blending in response to the blend instruction, and skips over the sequence of instructions for setting up and performing blend shading.

Abstract: Provided is an image processing device configured to compress first image data. The image processing device includes an encoding circuit configured to compress the first image data into second image data including prediction data and residual data, compress the second image data into third image data by performing entropy encoding on the second image data, generate a header representing a compression ratio of the third image data, and store the third image data along with the header in a memory device as compressed first image data.

Abstract: A concealment substrate manufacturing process begins by printing or painting a graphic design as camouflage on substrates like mesh-textured uniforms, military equipment, Mylar thermal blanket sheets, adhesive tapes, etc. The graphic design is uniquely generated from pseudo-random noise in four overlaying color pigments that each begin as a raster of randomly generated noise in a standardized tile size. E.g., gray, green, tan, and brown colors natural for concealment applications are each masked by two-tone image contrast rasters. The four results are mixed together in groups with a monochrome mixing mask to produce a whole tile. Such concealment camouflage tile conjoins seamlessly on-edge within other arrays of identical tiles. One variation adds a distorted-grid mesh-texture overly texture to the concealment camouflage, and even a faint “watermark” related to a commercial trademark.

Abstract: There are provided methods and apparatus for in-loop artifact filtering. An apparatus includes an encoder for encoding an image region. The encoder has at least two filters for successively performing in-loop filtering to respectively reduce at least a first and a second type of quantization artifact.

Abstract: Disclosed is a parametric feature-based 3D CAD system that allows multiple users to simultaneously edit a parametric feature-based 3D CAD model consisting of 3D parts and assemblies of those parts (3D Model). Several CAD users, each using their own computer, phone, or tablet, can edit the same 3D Model at the same time. Editing may be separate and simultaneous—there is no need for users to worry about locking, checking out, or otherwise restricting each other's access to 3D Models. As a result, users see each other's changes occur in real-time, and may also identify what aspects other users are actively modifying through visible Collaboration Cues.

Abstract: A mapping between private information to be protected and identifier information for an object is recorded. The object is detected by analyzing sensor data received from a sensor device within a private computer network, in which the object has one or more attributes associated therewith. An analysis report is generated about the object by excluding the private information from the analysis report based on the mapping, in which the analysis report includes a non-private part of the one or more attributes. The analysis report is transmitted to a remote computer system located outside the private computer network without the private information.

Abstract: An image processing apparatus includes at least one processor causing the image processing apparatus to act as an acquisition unit configured to acquire a plurality of images, a determination unit configured to determine a template on which one or more images selected from the plurality of images are arranged, and a layout unit configured to arrange the selected one or more images in slots within the determined template. In a case when the determined template includes a background slot and a foreground slot that overlaps a part of the background slot, the layout unit arranges, into the background slot, one image out of the selected one or more images and also arranges, into the foreground slot, the one image.

Abstract: Lossless compression of fragmented image data is disclosed. In some embodiments, a stream of information comprising data elements having statistical characteristics is received. An encoded output is produced by an encoder comprising a data compressor that implements a variable length code that is adapted to the statistical characteristics of the data elements. The output and information from which the variable length code can be derived are stored.

Abstract: A display method and an apparatus, where the method includes obtaining, by a first terminal, a first gesture made by a user on a target shortcut in a first display interface after the first terminal couple to a second terminal, where the first display interface is an interface presented on the first terminal, and target content corresponding to the target shortcut is not running in a foreground of the first terminal, and sending, by the first terminal, first display data to the second terminal based on the first gesture such that the second terminal displays the first display data in a second display interface, where the first display data is data correlated with the target content, and the second display interface is an interface presented on the second terminal.

Abstract: In general, this disclosure describes techniques for coding video blocks using a color-space conversion process. A video coder, such as a video encoder or a video decoder, may determine a bit-depth of a luma component of the video data and a bit-depth of a chroma component of the video data. In response to the bit-depth of the luma component being different than the bit depth of the chroma component, the video coder may modify one or both of the bit depth of the luma component and the bit depth of the chroma component such that the bit depths are equal. The video coder may further apply the color-space transform process in encoding the video data.

Abstract: A technique selectively avoids memory fetches for partially uniform textures in real time graphics shader programs and instead uses program paths specialized for one or more frequently occurring values. One aspect avoids memory lookups and dependent computations for partially uniform textures through use of pre-constructed coarse-grained representations called value locality maps or dirty tilemaps (DTMs). The decision to use a specialized fast path or not is made dynamically by consulting such coarse-grained dirty tilemap representations. Thread-sharing value reuse can be implemented with or instead of the DTM mechanism.

Abstract: A projector includes a projection section that projects a first image on a projection surface, a control section that causes the projection section to project a pattern image for installation including a first pattern that is located at an end of the first image, which overlaps with a second image, and a second pattern that is so disposed that a first straight line section is located in a position separate from the end by a distance, and a correction section that corrects the first image based on a captured image containing an image of a first area of the second image, and the first area is an area that overlaps with an area having a width corresponding to the distance measured from the end of the first image in a state in which the first image and the second image overlap with each other.

Abstract: A deep learning based compression (DLBC) system applies trained models to compress binary code of an input image to a target codelength. For a set of binary codes representing the quantized coefficents of an input image, the DLBC system applies a first model that is trained to predict feature probabilities based on the context of each bit of the binary codes. The DLBC system compresses the binary code via adaptive arithmetic coding based on the determined probability of each bit. The compressed binary code represents a balance between a reconstruction quality of a reconstruction of the input image and a target compression ratio of the compressed binary code.

Abstract: The present disclosure relates to signal processing such as image processing, signal encoding, digital watermarking and data hiding. Technology includes a method comprising: capturing imagery corresponding to a printed object with a red illumination scanner, the red illumination scanner having a wavelength at or around 660 nm, said scanning yielding scan data, wherein the printed object includes a process color printed thereon through an offset or flexo printing press, the process color including a narrow-band absorption material that has a peak absorbance at or around 660 nm, the process color printed in a manner to convey an encoded plural-bit message, the encoded plural-bit message corresponding to a GTIN number; analyzing the imagery with one or more programmed multi-core processors to decode the encoded plural bit message, said analyzing yielding the GTIN number; and providing the GTIN number as an output. Of course other combinations and technology is also provided.

Abstract: A digital processing method, which comprises obtaining a stream of N-bit input data words; obtaining a value k between 0 and M?1, inclusively, where M>1; processing each of the N-bit input data words at least based on the kth of M permutation elements to produce a corresponding N-bit output data word; and outputting a stream of N-bit output data words on a network or storing the stream of the N-bit output data words in a non-transitory storage medium.

Abstract: Multiple video segments may be obtained from a repository of video segments. A selection of a video segment from the multiple video segments may be received. The selected video segment may be presented at a first resolution via a display. A selection of a point in time during presentation of the video segment may be received to extract a frame set from the video segment at or near the selected point in time. The frame set may include multiple frames, including one frame corresponding to the selected point in time, and other frames that correspond to points in time adjacent to the selected point in time. A selection of a single frame within the frame set may be received. The single frame may be received having a second resolution. The second resolution may be higher than the first resolution. The single frame may be presented via the display.

Abstract: Various embodiments of the present disclosure relate to an image processing device and method for compressing and restoring an image. To this end, edged information and scaling information are obtained from an input signal, and block information employed for obtaining the edged information and the scaling information is generated. In addition, encoding information is transmitted according to a preset transmission format so as to include the edged information, the scaling information, and the block information.

Abstract: A light field panorama system in which a user holding a mobile device performs a gesture to capture images of a scene from different positions. Additional information, for example position and orientation information, may also be captured. The images and information may be processed to determine metadata including the relative positions of the images and depth information for the images. The images and metadata may be stored as a light field panorama. The light field panorama may be processed by a rendering engine to render different 3D views of the scene to allow a viewer to explore the scene from different positions and angles with six degrees of freedom. Using a rendering and viewing system such as a mobile device or head-mounted display, the viewer may see behind or over objects in the scene, zoom in or out on the scene, or view different parts of the scene.

Abstract: A system, apparatus, and method for encoding and decoding a video image having a plurality of frames is disclosed. Encoding and decoding the video image can include selecting, for a current block, a prediction mode from a plurality of prediction modes; identifying, for the current block, a quantization value; selecting, for the current block, a probability distribution from a plurality of probability distributions based on the identified quantization value using a processor; and entropy encoding the selected prediction mode using the selected probability distribution.

Abstract: Techniques for selecting a coding mode for an image coding process are described. Coding modes can be selected through a coding mode transition state machine, a re-quantization process, selection of an optimal transform size, by skipping some quantization parameters, or by performing motion search.

Abstract: An image decoding method according to the present invention comprises the steps of: acquiring information to form a reference picture set of a current picture by entropy decoding the received bitstream information; and performing prediction on a prediction block inside the current picture by using a reference picture list which is formed based on the reference picture set.

Abstract: Video encoding is provided using periodic intra refresh, which can adapt padding of an intra encoding region between image frames based on a current level motion in the image frame. Upon a current level of motion not exceeding a first threshold, an intra encoding region of the image frame according to a predefined periodic intra refresh pattern is intra encoded. Upon the current level of motion exceeding the first threshold, the intra encoding region of the image frame is expanded to overlap to a determined extent with a previously encoded intra encoding region among the plurality of image frames, and the expanded intra encoding region of the image frame is intra encoded. Regions of the image different from the intra encoding regions and the expanded intra encoded region, respectively are inter frame encoded.

Abstract: Apparatuses, methods and storage media associated with an IoT gateway are disclosed herein. In embodiments, an apparatus (such as an IoT gateway) for communicatively coupling a plurality of Internet-of-Things (IoT) devices of an IoT network to each other, and to an enterprise or public network, may comprise: first networking circuitry to communicatively couple the apparatus with the plurality of the IoT (smart) devices of the IoT network; second networking circuitry to communicatively couple the apparatus with the enterprise or public network; routing circuitry coupled to the first and second networking circuitries; and code table building circuitry coupled with the first and second networking circuitries to dynamically provide a code table to the IoT (smart) devices to use to exchange messages with each other, or with other devices on the enterprise or public network, based at least in part on words in the messages exchanged.

Abstract: The invention relates to a method, an apparatus and a computer program product for encoding multicamera views. The method comprises determining a most probable viewing direction (MPVD) in a content; finding the location of the most probable viewing direction (MPVD) on all available views (View 1-View 8) of the content; defining one or more central locations for each available view (View 1-View 8); determining how the central locations cover the most probable viewing direction (MPVD) on each available view (View 1-View 8), and applying encoding to each view accordingly.

Abstract: Providing optical watermark signals for a visual authentication session by performing at least the following: receive, at an anti-spoof engine, an instruction to perform visual authentication operations for a visual authentication session, generate, with the anti-spoof engine, an optical watermark signal based on receiving the instruction, wherein the optical watermark signal includes at least one optical identifier to authenticate images captured during the visual authentication session, obtain, with the anti-spoof engine, an image source that includes captured images of the visual authentication session, determine, with the anti-spoof engine, whether the image source includes a reflected optical watermark signal, and compare, with the anti-spoof engine, whether the reflected optical watermark signal matches the generated optical watermark signal based on the determination that the image source includes the reflected optical watermark signal.

Abstract: In a printing apparatus, a controller is configured to: receive compressed image data created by compressing image data for pages; store the compressed image data into a memory; individually identify partial compressed data corresponding to the pages in the stored compressed image data; store one of the partial compressed data into the memory or stores information identifying each partial compressed data in the compressed image data, into the memory; execute a first creating processing for decompressing the one partial compressed data and creating print data for one page based on decompressed page data; and execute a first output processing for outputting the created print data. The controller repeats the first creating processing and the first output processing a number of times corresponding to the number of pages contained in the compressed image data. The printing apparatus performs printing based on the output print data.

Abstract: A method, an apparatus, and a system for tagging a video for video communications include: transmitting, from a first apparatus using a network, a first video stream of a first user to a second apparatus of a second user that is in video communication with the first user; receiving, from the second apparatus using the network, a second video stream of the second user; determining, using the second video stream by a processor, a reaction of the second user to the first video stream; and associating the reaction of the second user with the first video stream. The apparatus includes a processor and a memory coupled to the processor. The memory is configured to store instructions which when executed by the processor become operational with the processor to perform the method.

Abstract: An inter-prediction method according to the present invention comprises the steps of: deriving motion information of a current block; and generating a prediction block for the current block on the basis of the derived motion information. According to the present invention, computational complexity can be reduced and encoding efficiency can be improved.

Abstract: Systems and methods to identify an attention region in sensor-based detection involve obtaining a detection result that indicates one or more detection areas where one or more objects of interest are detected. The detection result is based on using a first detection algorithm. The method includes obtaining a reference detection result that indicates one or more reference detection areas where one or more objects of interest are detected. The reference detection result is based on using a second detection algorithm. The method also includes identifying the attention region as one of the one or more reference detection areas without a corresponding one or more detection areas. The first detection algorithm is used to perform detection in the attention region.

Abstract: There are provided computerized systems and methods of pre-processing video information for optimized video encoding. In various aspects, the pre-processing can be performed in different ways. By way of example, this can be performed by aligning a plurality of consecutive frames in the sequence of video frames. By way of another example, this can be performed by conducting adaptive pre-filtering of the video information. By way of yet another example, this can be performed by filtering the video information in order to remove grain content thereof.

Abstract: A deep learning based compression (DLBC) system generates a progressive representation of the encoded input image such that a client device that requires the encoded input image at a particular target bitrate can readily be transmitted the appropriately encoded data. More specifically, the DLBC system computes a representation that includes channels and bitplanes that are ordered based on importance. For a given target rate, the DLBC system truncates the representation according to a trained zero mask to generate the progressive representation. Transmitting a first portion of the progressive representation enables a client device with the lowest target bitrate to appropriately playback the content. Each subsequent portion of the progressive representation allows the client device to playback the content with improved quality.

Abstract: A computer-implemented method comprises receiving a first compressed representation of a texture map in a first compression format, wherein the first compressed representation has been compressed using a first compressor, and receiving an array of compression parameters for a second compressor, the array of compression parameters including one or more respective compression parameters for each of a plurality of pixel regions of the texture map. The method further comprises decompressing the first compressed representation of the texture map to obtain the texture map, and compressing, using the second compressor, the texture map to a second compressed representation in a second compression format, comprising compressing each of said plurality of pixel regions of the texture map in accordance with the respective one or more compression parameters.

Abstract: A fingerprint recognition apparatus with fingerprint data compression is introduced, including: a pixel array obtaining a fingerprint data; a control circuit coupling to the pixel array and obtaining characteristic values of the pixel array; an effective fingerprint distribution judgement circuit coupling to the pixel array and determining a first part of the pixel array as an effective fingerprint zone and a second part of the pixel array as an invalid fingerprint zone according to the characteristic values of each row of the pixel array; and a multi-compressing circuit coupling to the effective fingerprint distribution judgement circuit and compressing the fingerprint data in the effective fingerprint zone with a first compression method and compressing the fingerprint data in the invalid fingerprint zone with a second compression method.

Abstract: This invention relates to a secure QrCode communication method based on nonlinear spatial frequency characteristics, comprising: camera modeling: modeling according to the spatial frequency of the color filter matrix of the scanning device's camera; QrCode encryption: using the CFA spatial frequency of scanning device and modeling results, as well as the spatial frequency of the display device, generate an encrypted picture of the target QrCode on the display device; QrCode decryption: the camera of the scanning device takes the picture of the display at a specified position and a specified angle, and parses the image to recover the target QrCode. Compared with the prior art, the present invention utilizes the nonlinear characteristics of the optical spatial frequency, and uses the spatial frequency of the camera's own color filter array and the spatial frequency of the display to modulate the target two-dimensional code through phase to achieve the effect of encryption.

Abstract: A decoding device, an encoding device and a method for point cloud decoding is disclosed. The method includes receiving a compressed bitstream. The method also includes decoding the compressed bitstream into 2D frames that represent a 3D point cloud, each of the 2D frames including a set of patches representing a cluster of pixels of the 3D point cloud. The method further includes identifying an occupancy map included in the compressed bitstream. The method additionally includes identifying valid boundary points located at a boundary of a patch of the set of patches based on the occupancy map and identifying valid neighboring points of each of the valid boundary points of the patch. The method also includes generating the 3D point cloud using the 2D frames based on the valid neighboring points and the valid boundary points.

Abstract: Methods and devices for attribute coding for point clouds. In a top-down coding process a predicted geometry-weighted sum of attributes is determined for each occupied sub-volume of a volume based on a prediction operation that uses at least a geometry-weighted sum of attributes for the volume. The prediction operation involves up-sampling data from the preceding (parent) depth of the coding tree. The predicted geometry-weighted sums of attributes and corresponding original geometry-weighted sums of attributes are subtracted, in the attribute domain or in a transform domain to result in residual coefficients. The AC residual coefficients are coded in the bitstream. The transform used has a DC coefficient property, whereby the DC coefficient from transform of the geometry-weighted sums of attributes for the set of child sub-volumes is the geometry-weighted sum of attributes for the volume.

Abstract: Some implementations may include a method for watermarking an identification document, the method including: modulating a spatial luminance pattern associated with a first digital watermark to encode a first portion of personally identifiable information; modulating a spatial chrominance distribution associated with a second digital watermark to encode a second portion of the personally identifiable information; and applying the first digital watermark and the second digital watermark to the identification document.

Abstract: The present technology relates to an encoding device and an encoding method capable of reducing the amount of information relating to information that specifies a reference image. An encoding unit generates a predicted image using a reference image. A transmission unit transmits inter_ref_pic_set_prediction_flag representing whether reference image specifying information specifying the reference image of a prior image that is an image prior to a current coding image in coding order is used as the reference image specifying information of the current coding image in a case where the current coding image is an image other than a first image of a GOP (Group of Picture). The present technology, for example, can be applied to an encoding device of an HEVC (High Efficiency Video Coding) system.

Abstract: A digital media encoder/decoder uses a flexible quantization technique that provides the ability to vary quantization along various dimensions of the encoded digital media data, including spatial, frequency sub bands and color channels. The codec utilizes a signaling scheme to signal various permutations of flexible quantization combinations efficiently for primary usage scenarios. When a choice of quantizer is available, the codec efficiently encodes the current quantizer by defining a subset of quantizers and indexes the current quantizer from the set.

Abstract: A method, computer system, and a computer program product for processing a set of data objects of one or more users stored in a computer system is provided. The present invention may include providing data object properties and user properties of the set of data objects. The present invention may include determining a combined property of the data object properties and user properties. The present invention may include determining time dependent properties and at least two metrics, wherein a first metric indicates the deletability of a cluster and a second metric indicates the quality of the cluster, and wherein the first metric is determined using time dependent properties of the cluster. The present invention may include inputting the set of combined properties to a clustering algorithm and using the clustering algorithm to cluster the data objects to identify a best deletable cluster to determine if a data object is deletable.

Abstract: In a computer-implemented method of facilitating detection of document-related fraud, fraudulent document detection rules may be generated or updated by training a machine learning program using image data corresponding to physical documents, and fraud determinations corresponding to the documents. The documents and fraudulent document detection rules may correspond to a first type of document. Image data corresponding to an image of one of the physical documents may be received, where the physical document corresponds to the first type of document. By applying the fraudulent document detection rules to the image data, it may be determined that the physical document is, or may be, fraudulent. An indication of whether the physical document is, or may be, fraudulent may be displayed to one or more people via one or more respective computing device user interfaces.

Abstract: Provided is an artificial intelligence (AI) decoding apparatus including a memory storing one or more instructions; and a processor configured to execute the one or more instructions to, when an image is input to a second DNN including a plurality of layers, obtain first result values based on an operation between the image and a first filter kernel and obtain second result values based on an operation between the image and a second filter kernel, from a first layer including the first and second filter kernels from among the plurality of layers, perform normalization by transforming the first result values into first values by using a first scale factor, and, perform normalization by transforming the second result values into second values by using a second scale factor, transform the first values and the second values into integer values included in a preset range.