Systems and methods for integrated graphics rendering are disclosed. In certain embodiments, the systems and methods utilize a graphics engine, a video encoding engine, and remote client coding engine to render graphics over a network. The systems and methods involve the generation of per-pixel motion vectors, which are converted to per-block motion vectors at the graphics engine. The graphics engine injects these per-block motion vectors into a video encoding engine, such that the video encoding engine may convert those vectors into encoded video data for transmission to the remote client coding engine.

Systems and methods for integrated graphics rendering are disclosed. In certain embodiments, the systems and methods utilize a graphics engine, a video encoding engine, and remote client coding engine to render graphics over a network. The systems and methods involve the generation of per-pixel motion vectors, which are converted to per-block motion vectors at the graphics engine. The graphics engine injects these per-block motion vectors into a video encoding engine, such that the video encoding engine may convert those vectors into encoded video data for transmission to the remote client coding engine.

A picture prediction method and a related apparatus are disclosed. A picture prediction method includes: determining K1 pixel samples in a picture block x, and determining a candidate motion information unit set corresponding to each pixel sample in the K1 pixel samples, where the candidate motion information unit set corresponding to each pixel sample includes at least one candidate motion information unit; determining a merged motion information unit set i including K1 motion information units, where each motion information unit in the merged motion information unit set i is selected from at least a part of motion information units in candidate motion information unit sets corresponding to different pixel samples in the K1 pixel samples; and predicting a pixel value of the picture block x by using a non-translational motion model and the merged motion information unit set i.

A picture prediction method and a related apparatus are disclosed. A picture prediction method includes: determining K1 pixel samples in a picture block x, and determining a candidate motion information unit set corresponding to each pixel sample in the K1 pixel samples, where the candidate motion information unit set corresponding to each pixel sample includes at least one candidate motion information unit; determining a merged motion information unit set i including K1 motion information units, where each motion information unit in the merged motion information unit set i is selected from at least a part of motion information units in candidate motion information unit sets corresponding to different pixel samples in the K1 pixel samples; and predicting a pixel value of the picture block x by using a non-translational motion model and the merged motion information unit set i.

Different implementations are described, particularly implementations for selecting a predictor candidate from a set of multiple predictor candidates for motion compensation of a picture block based on a motion model. The motion model, may be, e.g., an affine model in a merge mode for a video content encoder or decoder. In an embodiment, a predictor candidate is selected from the set based on a motion model for each of the multiple predictor candidates, and may be based on a criterion such as, e.g., a rate distortion cost. The corresponding motion field is determined based on, e.g., one or more corresponding control point motion vectors for the block being encoded or decoded. The corresponding motion field of an embodiment identifies motion vectors used for prediction of sub-blocks of the block being encoded or decoded.

Video coding and decoding in which the bitstream is generated using affine motion compensation mode are described. One example includes generating, for a reconstruction of a current video unit, a list of affine motion vector prediction candidates in which each candidate in the list is calculated without using a clipping operation, wherein the clipping operation limits a magnitude of the candidate motion vectors to a range; and performing the reconstruction of the current video unit using the list of affine motion vector prediction candidates.

Devices, systems and methods for digital video coding, which includes inter prediction with refinement, are described. An exemplary method of video processing includes determining to use, for a conversion between a current block of a video and a bitstream representation of the video, a first linear optimization model for the conversion using a first coding mode, the first linear optimization model being derived from a second linear optimization model that is used for the conversion using a second coding mode, and performing, based on the determining, the conversion. Another exemplary method of video processing includes determining to use, for a conversion between a current block of a video and a bitstream representation of the video, a gradient value computation algorithm for a bi-directional optical flow tool, and performing, based on the determining, the conversion.

A display method includes the following operations. Multiple first image data are received by a processor through a graphics card. Multiple first image data are analyzed based on an artificial intelligence model by the processor. Multiple second image data are transmitted to the display by the processor. Multiple second image data include multiple first image data, at least one compensation image data between adjacent two of multiple first image data, or combinations thereof.

A display method includes the following operations. Multiple first image data are received by a processor through a graphics card. Multiple first image data are analyzed based on an artificial intelligence model by the processor. Multiple second image data are transmitted to the display by the processor. Multiple second image data include multiple first image data, at least one compensation image data between adjacent two of multiple first image data, or combinations thereof.

A picture prediction method includes: determining motion vectors of W control points in a current picture block; obtaining motion vectors of P pixel units of the current picture block by using a motion model and the motion vectors of the W control points, where precision of the determined motion vectors of the W control points is 1/n of pixel precision, precision of the motion vector of each of the P pixel units is 1/N of the pixel precision, the motion vector of each of the P pixel units is used to determine a corresponding reference pixel unit in a reference picture of a corresponding pixel unit; and performing interpolation filtering on a pixel of the corresponding reference pixel unit by using an interpolation filter with a phase of Q, to obtain a predicted pixel value of each of the P pixel units.