Methods and apparatus for processing of video are described. The processing may include video encoding, decoding or transcoding. One example video processing method includes performing a conversion between a video including one or more pictures including one or more subpictures and a bitstream of the video, wherein the bitstream conforms to a format rule that specifies a syntax of network abstraction layer (NAL) units in the bitstream, and wherein the format rule specifies that a NAL unit of a video coding layer (VCL) NAL unit type includes a content associated with a particular type of picture or a particular type of subpicture.

A method of decoding JVET video includes receiving a bitstream that includes encoded video data that includes encoded video data. From the encoded data, a horizontal predictor and a vertical predictor for a pixel in the current coding block may be interpolated. A coding block size may be identified to determine whether to use equal weight or unequal weights to apply to each of the horizontal and vertical predictors for calculating a final planar prediction value P(x,y) by comparing the coding block size to a coding block size threshold.

A prediction method for an image block comprising a first prediction sub-block and a second prediction sub-block, the prediction method comprising: parsing a first index from a bitstream, wherein the first index is used to obtain prediction information of the first prediction sub-block; parsing a second index from the bitstream; comparing the first index with the second index; adjusting the second index in the event that the second index is equal to or greater than the first index; and obtaining prediction information of the second prediction sub-block according to the adjusted second index.

A method for in-loop sample offset filtering in a video decoder is disclosed. The method includes obtaining at least one statistical property associated with reconstructed samples of at least a first color component in a current reconstructed data block of a video stream, selecting a target sample offset filter among a plurality of sample offset filters based on the at least one statistical property, the target sample offset filter comprising a nonlinear mapping between sample delta measures and sample offset values, and filtering a current sample in a second color component of the current reconstructed data block using the target sample offset filter and reference samples in a third color component of the current reconstructed data block to generate a filtered reconstructed sample of the current sample.

A method for in-loop sample offset filtering in a video decoder is disclosed. The method includes obtaining at least one statistical property associated with reconstructed samples of at least a first color component in a current reconstructed data block of a video stream, selecting a target sample offset filter among a plurality of sample offset filters based on the at least one statistical property, the target sample offset filter comprising a nonlinear mapping between sample delta measures and sample offset values, and filtering a current sample in a second color component of the current reconstructed data block using the target sample offset filter and reference samples in a third color component of the current reconstructed data block to generate a filtered reconstructed sample of the current sample.

Devices, systems and methods for digital video coding, which includes an overlapped block motion compensation (OBMC) process based on spatially neighboring blocks, are described. An exemplary method for video processing includes generating a motion information associated with a current video block; generating, based on a weighted sum of at least two temporary prediction blocks, a prediction block for the current video block, a first of the at least two temporary prediction blocks being based on the motion information, and a second of the at least two temporary prediction blocks being based on an intra prediction mode of a neighboring block; and performing, based on the prediction block, a conversion between the current video block and a bitstream representation of the current video block.

Devices, systems and methods for digital video coding, which includes an overlapped block motion compensation (OBMC) process based on spatially neighboring blocks, are described. An exemplary method for video processing includes generating a motion information associated with a current video block; generating, based on a weighted sum of at least two temporary prediction blocks, a prediction block for the current video block, a first of the at least two temporary prediction blocks being based on the motion information, and a second of the at least two temporary prediction blocks being based on an intra prediction mode of a neighboring block; and performing, based on the prediction block, a conversion between the current video block and a bitstream representation of the current video block.

In various examples, a media stream may be received by a re-encode system that may leverage a recode engine to convert (e.g., at an interval, based on a request, etc.) an inter-frame associated with the media stream to an intra-frame. The intra-frame may be converted from the inter-frame using parameters or other information associated with and received with the media stream. The converted intra-frame may be merged into an updated segment of the media stream in place of the original inter-frame to enable storage of the updated segment—or a portion thereof—for later use.

A video repairing method, apparatus, device, medium, and product are provided. The method includes: acquiring a to-be-repaired video frame sequence; determining a target category corresponding to each pixel in the to-be-repaired video frame sequence based on the to-be-repaired video frame sequence and a preset category detection model; determining, from the to-be-repaired video frame sequence, to-be-repaired pixels each with a target category being a to-be-repaired category; and performing repairing on to-be-repaired areas corresponding to the to-be-repaired pixels to obtain a target video frame sequence.

An example disclosed system may include a hardware video encoding pipeline (HVEP), the HVEP that includes a prediction module that generates, using a primary prediction mode, a primary encode of a portion of a video stream, and using a secondary prediction mode, a secondary encode of the portion of the video stream. The HVEP may also include (1) a rate-distortion optimization (RDO) module that determines a primary cost associated with the primary encode and a secondary cost associated with the secondary encode, (2) a quality metric (QM) module that determines a primary QM associated with the primary encode and a secondary QM associated with the secondary encode, and (3) a decision module that selects, for an encoding of the video stream, at least one of the primary prediction mode and the secondary prediction mode based on the primary cost, the secondary cost, the primary QM, and the secondary QM.