VID SCALE, INC.

Methods and apparatuses for encoding/decoding an image or a video using neural network are disclosed. In some embodiments, side-information is decoded from a bitstream that allows for adapting a first neural network-based decoder, the decoded side-information and coded data representative of an image or a video obtained from the bitstream or a separate bitstream are provided as inputs to the first neural-network-based decoder and a reconstructed image or video is obtained from an output of the first neural network-based decoder.

A system may identify a defined rectangular picture area and render video corresponding to the defined rectangular picture area. The system may receive a video bitstream comprising a picture having a header and may receive data specifying a structure of the picture. The system may parse the data specifying the structure of the picture for an identifier corresponding to a defined rectangular area in the first picture and for a tile index of a top left tile in the defined rectangular area. The system may determine one or more tiles comprised in the defined rectangular area based on the identifier corresponding to the defined rectangular area and the tile index of the top left tile. The system may reconstruct the picture including a sub-picture that comprises the defined rectangular area based upon the identifier corresponding to the defined rectangular area. The computing system may render the sub-picture in the defined rectangular area.

Systems, methods, and instrumentalities are disclosed for a 360-degree video streaming. A video streaming device may receive a 360-degree video stream from a network node. The video streaming device may determine a viewport associated with the video streaming device and/or the 360-degree video stream. The video streaming device may determine (e.g., based on the viewport) to request in advance a first segment and a second segment of the 360-degree video stream. The video streaming device may determine a relative priority order for the first segment and the second segment. The video streaming device may generate an anticipated requests message. The anticipated requests message may indicate the determined relative priority order, for example, by listing the first segment and the second segment in decreasing relative priority based on the determined relative priority order. The video streaming device may send the anticipated requests message to the network node.

A block may be identified. The block may be partitioned into one or more (e.g., two) sibling nodes (e.g., sibling nodes B0 and B1). A partition direction and a partition type for the block may be determined. If the partition type for the block is binary tree (BT), one or more (e.g., two) partition parameters may be determined for sibling node B0. A partition parameter (e.g., a first partition parameter) may be determined for sibling node B1. A decoder may determine whether to receive an indication of a second partition parameter for B1 based on, for example, the partition direction for the block, the partition type for the block, and the first partition parameter for B1. The decoder may derive the second partition parameter based on, for example, the partition direction and type for the block, and the first partition parameter for B1.

Bidirectional optical flow (BDOF) may be bypassed, for a current coding block, based on whether symmetric motion vector difference (SMVD) is used in motion vector coding for the current coding block. A coding device (e.g., an encoder or a decoder) may determine whether to bypass BDOF for the current coding block based at least in part on an SMVD indication for the current coding block. The coding device may obtain the SMVD indication that indicates whether SMVD is used in motion vector coding for the current coding block. If SMVD indication indicates that SMVD is used in the motion vector coding for the current coding block, the coding device may bypass BDOF for the current coding block. The coding device may reconstruct the current coding block without performing BDOF if it determines to bypass BDOF for the current coding block.

Methods and apparatus relate to picture and video coding in communication systems are provided. Included therein is a method comprising determining one or more layers associated with a parameter set, generating a syntax element including an indication indicating whether the one or more layers associated with the parameter set are independently coded, and generating a message including the syntax element.

Systems, methods, and instrumentalities are disclosed for motion vector clipping when affine motion mode is enabled for a video block. A video coding device may determine that an affine mode for a video block is enabled. The video coding device may determine a plurality of control point affine motion vectors associated with the video block. The video coding device may store the plurality of clipped control point affine motion vectors for motion vector prediction of a neighboring control point affine motion vector. The video coding device may derive a sub-block motion vector associated with a sub-block of the video block, clip the derived sub-block motion vector, and store it for spatial motion vector prediction or temporal motion vector prediction. For example, the video coding device may clip the derived sub-block motion vector based on a motion field range that may be based on a bit depth value.

Systems, devices, and methods are described herein for symmetric merge mode motion vector coding. Symmetric bi-prediction (bi-pred) motion vectors (MVs) may be constructed from available candidates in a merge candidate list for regular inter prediction merge mode and/or affine prediction merge mode. Available MV merge candidates may be symmetrically extended or mapped in either direction (e.g., between reference pictures before and after a current picture), for example, when coding a picture that allows bi-directional motion compensation prediction (MCP). A symmetric bi-pred merge candidate may be selected among merge candidates for predicting the motion information of a current prediction unit (PU). The symmetric mapping construction may be repeated by a decoder (e.g., based on a coded index of the MV merge candidate list), for example, to obtain the same merge candidates and coded MV at an encoder.

A coding device (e.g., that may be or may include encoder and/or decoder) may receive a frame-packed picture of 360-degree video. The coding device may identify a face in the frame-packed picture that the current block belongs to. The coding device may determine that a current block is located at a boundary of the face that the current block belongs to. The coding device may identify multiple spherical neighboring blocks of the current block. The coding device may identify a cross-face boundary neighboring block. The coding device may identify a block in the frame-packed picture that corresponds to the cross-face boundary neighboring block. The coding device may determine whether to use the identified block to code the current block based on availability of the identified block. The coding device may code the current block based on the determination to use the identified block.

Systems and methods are described for video coding using affine motion models with adaptive precision. In an example, a block of video is encoded in a bitstream using an affine motion model, where the affine motion model is characterized by at least two motion vectors. A precision is selected for each of the motion vectors, and the selected precisions are signaled in the bitstream. In some embodiments, the precisions are signaled by including in the bitstream information that identifies one of a plurality of elements in a selected predetermined precision set. The identified element indicates the precision of each of the motion vectors that characterize the affine motion model. In some embodiments, the precision set to be used is signaled expressly in the bitstream; in other embodiments, the precision set may be inferred, e.g., from the block size, block shape or temporal layer.