Abstract: An encoder includes processing circuitry and a memory coupled to the processing circuitry. Using the memory, the processing circuitry is configured to: change values of pixels in a first block and a second block to filter a boundary between the first block and the second block. The pixels include type one pixels and type two pixels different from the type one pixels. The first set of filter coefficients applied to the type one pixels in the first block and the second set of filter coefficients applied to the type one pixels in the second block are selected to be asymmetrical with respect to the boundary.

Abstract: When removing a block distortion occurring in a local decoded image, a loop filtering part 11 of an image coding device carries out a filtering process on each of signal components (a luminance signal component and color difference signal components) after setting the intensity of a filter for removing the block distortion for each of the signal components according to a coding mode (an intra coding mode or an inter coding mode) selected by a coding controlling part 1.

Abstract: A method of coding at least one image comprising the steps of splitting the image into a plurality of blocks, of grouping said blocks into a predetermined number of subsets of blocks, of coding each of said subsets of blocks in parallel, the blocks of a subset considered being coded according to a predetermined sequential order of traversal. The coding step comprises, for a current block of a subset considered, the sub-step of predictive coding of said current block with respect to at least one previously coded and decoded block, and the sub-step of entropy coding of said current block on the basis of at least one probability of appearance of a symbol.

Abstract: Systems, methods and circuitries are disclosed for compressing radar data. In one example, a radar sender unit includes adaptive compression circuitry configured to determine tuning data, wherein the tuning data is based on one or more operating conditions; compress radar data based on the tuning data; and transmit the compressed radar data to a radar control unit for further processing.

Abstract: The present technology relates to an information processing device, an imaging device, an information processing method, and a program capable of generating an appropriate digital signal having high quantization precision from a digital signal having low quantization precision. High-precision component information is extracted from an unprocessed signal that is a digital signal not subjected to predetermined signal processing and having first quantization precision, and a reproduction signal in which quantization precision of a processed signal obtained by performing the predetermined signal processing on the unprocessed signal is reproduced to the first quantization precision on the basis of the high-precision component information is generated. The present technology is applicable to, for example, an imaging device.

Abstract: Devices, systems and methods for using zero-units in video and image coding are described. In a representative aspect, a method for processing video, including: determining, for a conversion between a block of the video and a bitstream of the video, that the block is a zero-unit (ZU) block based on at least one of the dimensions being a non-power-of-two number, wherein no transform and inverse-transform operations are performed on the block; performing the conversion based on the determination.

Abstract: Techniques and systems for testing, evaluating and/or otherwise assessing the operation of vehicles are discussed herein. Aspects relate to a system and method comprising receiving video data comprising a video stream derived from a camera during a vehicle run and being in a first format; storing part of the video stream in the first format; transcoding part of the video stream from the first format into a second format; storing, in a cache, the part of the video stream as video segments in the second format; receiving a request for video data associated with a point in time, wherein: if video segments in the second format do not correspond to the point in time, transcoding part of the video stream in the first format to the second format to create further second video segments in the second format; transmitting and storing, in the cache, the further second video segments.

Abstract: Video images are rendered in viewports of content viewers. Each content viewer views video images through a respective viewport in the viewports. Spatial locations in the video images to which foveal visions of the content viewers are directed are determined. ROIs in the video images are identified based on the spatial locations in the video images.

Abstract: An artificial intelligence (AI) system that includes a processor configured to execute modules of the AI system. The modules comprise a feature extractor, an adversarial noise generator, a compressor and a classifier. The feature extractor is trained to process input data to extract features of the input data for classification of the input data. The adversarial noise generator is trained to generate noise data for distribution of features of the input data such that a misclassification rate of corrupted features that include the extracted features corrupted with the generated noise data is greater than a misclassification rate of the extracted features. The compressor is configured to compress the extracted features. The compressed features are closer to the extracted features than to the corrupted features. The classifier is trained to classify the compressed features.

Abstract: A method of coding at least one image comprising the steps of splitting the image into a plurality of blocks, of grouping said blocks into a predetermined number of subsets of blocks, of coding each of said subsets of blocks in parallel, the blocks of a subset considered being coded according to a predetermined sequential order of traversal. The coding step comprises, for a current block of a subset considered, the sub-step of predictive coding of said current block with respect to at least one previously coded and decoded block, and the sub-step of entropy coding of said current block on the basis of at least one probability of appearance of a symbol.

Abstract: A filter for video coding is configured for processing a block for generation of a filtered block, where the block comprises a plurality of pixels. The filter includes one or more processor configured to: scan a current pixel of the block and its neighboring pixels of the current pixel according to a predefined scan template, obtain spectrum components by performing transform for the current pixel and its neighboring pixels, obtain filtered spectrum components based on a filtering parameter and the spectrum components, obtain filtered pixels by performing inverse transform for the filtered spectrum components, and generate a filtered block based on the filtered pixels.

Abstract: An encoder includes processing circuitry and memory. Using the memory, the processing circuitry: encodes and reconstructs an image to generate a reconstructed image; determines, according to a characteristic of a block in the reconstructed image, an interpolation method for interpolating pixels located outside a referable region including the block; interpolates the pixels located outside the referable region, using the interpolation method determined; and applies a filter to the block using the pixels interpolated.

Abstract: When removing a block distortion occurring in a local decoded image, a loop filtering part 11 of an image coding device carries out a filtering process on each of signal components (a luminance signal component and color difference signal components) after setting the intensity of a filter for removing the block distortion for each of the signal components according to a coding mode (an intra coding mode or an inter coding mode) selected by a coding controlling part 1.

Abstract: Video stream data is selectively scaled so that sections within regions of interest (ROI) maintain high resolution while areas not within the region of interest are down-scaled to reduce bandwidth cost of transmission. A low compression encoder compresses sections of a video frame corresponding to one or more ROI without motion search or prediction mode decision to generate low-compression section data. The video frame is downscaled and a high compression encoder compresses the resulting downscaled video frame with prediction mode decision to generate high-compression frame data.

Abstract: A method for adaptive loop filtering is provided that includes determining a coefficient value for each coefficient position of an adaptive loop filter, applying the adaptive loop filter to at least a portion of a reconstructed picture using the coefficient values, and entropy encoding coefficient values into a compressed bit stream using predetermined short binary codes, wherein the short binary code used depends on the coefficient position of the coefficient value.

Abstract: A graphics processing apparatus comprising bounding volume hierarchy (BVH) construction circuitry to perform a spatial analysis and temporal analysis related to a plurality of input primitives and responsively generate a BVH comprising spatial, temporal, and spatial-temporal components that are hierarchically arranged, wherein the spatial components include a plurality of spatial nodes with children, the spatial nodes bounding the children using spatial bounds, and the temporal components comprise temporal nodes with children, the temporal nodes bounding their children using temporal bounds and the spatial-temporal components comprise spatial-temporal nodes with children, the spatial-temporal nodes bounding their children using spatial and temporal bounds; and ray traversal/intersection circuitry to traverse a ray or a set of rays through the BVH in accordance with the spatial and temporal components.

Abstract: A system comprises an encoder configured to compress video data using an in-loop noise generation process that generates noise in the compression loop at a sub-image portion level of granularity, such as at a block level. The encoder includes noise model and/or noise model input parameter information in an encoded bit stream. Also, a system includes a decoder configured to receive such a bit stream and decompress the video using an in-loop noise generation process that generates noise in the decompression loop at a sub-image portion level of granularity.

Abstract: A method for encoding pictures within a groups of pictures using prediction, where a first reference picture from a group of pictures and a second reference pictures from the subsequent group of pictures are used in predicting pictures in the group of pictures associated with the first reference picture. A plurality of anchor pictures in the group of pictures associated with the first reference picture may be predicted using both the first and second reference pictures to ensure a smooth transition between different groups of pictures within a video frame.

Abstract: An apparatus for decoding frames of a compressed video data stream having at least one frame divided into partitions, includes a memory and a processor configured to execute instructions stored in the memory to read partition data information indicative of a partition location for at least one of the partitions, decode a first partition of the partitions that includes a first sequence of blocks, decode a second partition of the partitions that includes a second sequence of blocks identified from the partition data information using decoded information of the first partition.