Apparatuses, systems, and techniques to receive, at one or more processor associated with an image signal processing (ISP) pipeline, a compressed image generated by an image sensor, wherein the compressed image is captured at a first bit-depth associated with the image sensor and is compressed to a second bit-depth that is lower than the first bit-depth, and wherein the ISP is associated with a third bit-depth that is lower than the first bit-depth and higher than the second bit-depth; and decompress the compressed image according to a power curve to generate a partially decompressed image having the third bit-depth, wherein a plurality of regions of the partially decompressed image are decompressed at separate decompression amounts based on a corresponding pixel value of each region of the plurality of regions.

Described herein is a non-transitory computer readable storage medium having computer-readable program code stored thereon for causing a computer system to perform a method for processing data, the method comprising: receiving data, processing the data at a fixed code processing engine, wherein operation of the fixed code processing engine is controlled according to stored parameters, and classifying processed data at a fixed code classification engine, wherein operation of the fixed code classification engine is controlled according to the stored parameters.

Described herein is a non-transitory computer readable storage medium having computer-readable program code stored thereon for causing a computer system to perform a method for processing data, the method comprising: receiving data, processing the data at a fixed code processing engine, wherein operation of the fixed code processing engine is controlled according to stored parameters, and classifying processed data at a fixed code classification engine, wherein operation of the fixed code classification engine is controlled according to the stored parameters.

A method of video decoding for a video decoder includes determining whether a block size of a chroma block is less than or equal to a block size threshold. The method further includes, in response to a determination that the block size of the chroma block is greater than the block size threshold, selecting an intra prediction mode for the chroma block from a plurality of intra prediction modes. The method further includes, in response to a determination that the block size of the chroma block is less than or equal to the block size threshold, selecting the intra prediction mode for the chroma block from a subset of the plurality of intra prediction modes. The method further includes performing intra prediction for the chroma block based on a chroma sample obtained with the selected intra prediction mode to encode the chroma block.

A method of video decoding for a video decoder includes determining whether a block size of a chroma block is less than or equal to a block size threshold. The method further includes, in response to a determination that the block size of the chroma block is greater than the block size threshold, selecting an intra prediction mode for the chroma block from a plurality of intra prediction modes. The method further includes, in response to a determination that the block size of the chroma block is less than or equal to the block size threshold, selecting the intra prediction mode for the chroma block from a subset of the plurality of intra prediction modes. The method further includes performing intra prediction for the chroma block based on a chroma sample obtained with the selected intra prediction mode to encode the chroma block.

A data encoding method includes identifying within an image at least a foveal zone and a peripheral zone, the foveal zone of the image being estimated to coincide with the fovea of a user's eye when viewed by the user, encoding for transmission the different zones of the image at different qualities, the encoding quality for the foveal zone being higher than for the peripheral zone, and transmitting the encoded image to a remote viewing device; meanwhile, a data decoding method includes receiving an encoded image, different portions of the encoded image having been encoded at different qualities according to whether they are in at least a foveal zone and a peripheral zone, the foveal zone of the image being estimated to coincide with the fovea of a user's eye when viewed by the user, and the encoding quality for the foveal zone being higher than for the peripheral zone, decoding the portions of the image according to a respective decoding scheme corresponding to the respective encoding of each portion of the image, and outputting the decoded image for display.

A method of decoding JVET video, comprising defining a coding unit (CU) template within a decoded area of a video frame, the CU template being positioned above and/or to the left of a current decoding position for which data was intra predicted, defining a search window within the decoded area, the search window being adjacent to the CU template, generating a plurality of candidate prediction templates based on pixel values in the search window, each of the plurality of candidate prediction templates being generated using different intra prediction modes, calculating a matching cost between the CU template and each of the plurality of candidate prediction templates, selecting an intra prediction mode that generated the candidate prediction template that had the lowest matching cost relative to the CU template, and generating a prediction CU for the current decoding position based on the intra prediction mode.

A method of decoding JVET video, comprising defining a coding unit (CU) template within a decoded area of a video frame, the CU template being positioned above and/or to the left of a current decoding position for which data was intra predicted, defining a search window within the decoded area, the search window being adjacent to the CU template, generating a plurality of candidate prediction templates based on pixel values in the search window, each of the plurality of candidate prediction templates being generated using different intra prediction modes, calculating a matching cost between the CU template and each of the plurality of candidate prediction templates, selecting an intra prediction mode that generated the candidate prediction template that had the lowest matching cost relative to the CU template, and generating a prediction CU for the current decoding position based on the intra prediction mode.

A system includes a machine learning (ML) model-based video downsampler configured to receive an input video sequence having a first display resolution, and to map the input video sequence to a lower resolution video sequence having a second display resolution lower than the first display resolution. The system also includes a neural network-based (NN-based) proxy video codec configured to transform the lower resolution video sequence into a decoded proxy bitstream. In addition, the system includes an upsampler configured to produce an output video sequence using the decoded proxy bitstream.

A method of video decoding performed in a video decoder is provided. In the method, a bit stream including coded bits of bins of syntax elements is received. The syntax elements correspond to residues of a region of a transform skipped block in a coded picture. Context modeling is performed to determine a context model for each of a number of the bins of syntax elements of the region. The number of the bins of syntax elements that are context coded does not exceed a maximum number of context coded bins set for the region. The coded bits of the number of the bins of syntax elements are decoded based on the determined context models.