Abstract:
The techniques described in this disclosure may be generally related to identifying when motion vector difference (MVD) is skipped for one or both reference picture lists. The techniques may further relate to contexts for signaling MVD values. The techniques may also be related to syntax that indicates when at least one of the MVD values is zero.
Abstract:
As one example, techniques for decoding video data include receiving a bitstream that includes one or more pictures of a coded video sequence (CVS), decoding a first picture according to a decoding order, wherein the first picture is a random access point (RAP) picture that is not an instantaneous decoding refresh (IDR) picture, and decoding at least one other picture following the first picture according to the decoding order based on the decoded first picture. As another example, techniques for encoding video data include generating a bitstream that includes one or more pictures of a CVS, wherein a first picture according to the decoding order is a RAP picture that is not an IDR picture, and avoiding including at least one other picture, other than the first picture, that corresponds to a leading picture associated with the first picture, in the bitstream.
Abstract:
An example device for filtering decoded video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: decode a picture of video data; code a value for a syntax element representing a neural network model to be used to filter a portion of the decoded picture, the value representing an index into a set of pre-defined neural network models, the index corresponding to the neural network model in the set of pre-defined neural network models; and filter the portion of the decoded picture using the neural network model corresponding to the index.
Abstract:
A device for encoding video data includes a memory configured to store video data, and a video encoder implemented in circuitry and configured to encode a future picture of the video data having a first display order position, the future picture being included in an intra period (IP) of the video data, the IP comprising a plurality of groups of pictures (GOPs), and after encoding the future picture, encode a picture of an ordinal first GOP of the plurality of GOPs using the future picture as a reference picture, each picture of the ordinal first GOP having display order positions earlier than the first display order position. Encoding the future picture in this manner may result in encoding performance improvements with minimal increases in encoding and decoding complexity.
Abstract:
An example method includes encoding, in a video bitstream, a first syntax element specifying whether affine model based motion compensation is enabled; based on affine model based motion compensation being enabled, encoding, in the video bitstream, a second syntax element specifying a maximum number of subblock-based merging motion vector prediction candidates, wherein a value of the second syntax element is constrained based on a value other than a value of the first syntax element; and encoding a picture of the video data based on the maximum number of subblock-based merging motion vector prediction candidates.
Abstract:
A video coder may determine a motion vector of a non-adjacent block of a current picture of the video data. The non-adjacent block is non-adjacent to a current block of the current picture. Furthermore, the video coder determines, based on the motion vector of the non-adjacent block, a motion vector predictor (MVP) for the current block. The video coder may determine a motion vector of the current block. The video coder may also determine a predictive block based on the motion vector of the current block.
Abstract:
Example techniques are described to illustrate multiple transform applied for Intra prediction residual. It may be used in the context of advanced video codecs, such as extensions of HEVC or the next generation of video coding standards. A video encoder and a video decoder may select transform subsets that each identify one or more candidate transforms. The video encoder and the video decoder may determine transforms from the selected transform subsets.
Abstract:
A video decoder including one or more processors configured to receive one or more bits, in a bitstream, that indicate the encoded current block of video data was encoded based on a unified candidate list that includes motion vector candidates based on one or more translational motion vectors, and motion vector candidates based on one or more affine motion vectors. A merge index represented in the bitstream may indicate which candidate in the unified candidate list is associated with the motionvector of the encoded current block of video data. Based on the merge index, the one or more processors are configured to select one or more motion vectors of a candidate from the unified candidate list, based on the merge index, where the candidate has one or more of the motion vectors corresponding to the translational motion vectors or affine motion vectors within the unified candidate list.
Abstract:
A method of decoding video data, including receiving a first block of video data encoded using an inter-prediction mode associating a first intra-prediction mode with the first block of video data, wherein the first intra-prediction mode is associated with a second block of video data, and determining a second intra-prediction mode for a neighbor block of video data based at least in part on the first intra-prediction mode.
Abstract:
An example method of decoding video data includes obtaining, from a coded video bitstream and for a current block of the video data, an indication of an intra-prediction mode that identifies an initial predictive block; filtering, in parallel, samples in a current line of a plurality of lines of the initial predictive block based on filtered values of samples in a preceding line of the plurality of lines and unfiltered values of samples in the current line to generate filtered values for samples for the current line; and reconstructing, using intra prediction, values of samples of the current block based on the filtered values of the samples of the current initial predictive block and residual data for the current block that represents a difference between the filtered values of the samples of the current initial predictive block and the values of samples of the current block.