Glenfly Tech Co., Ltd.

Disclosed is a method and a device for decompressing Demura compensation value based on random-access bit stream. The method includes reading a target compression code corresponding to a target pixel set according to a screen refresh instruction in response to the screen refresh instruction, and decoding the target compression code to obtain Demura compensation values.

The present disclosure relates to a method and an apparatus for storing video data, a computer device, a computer-readable storage medium, and a computer program product. The method includes: establishing a lookup table corresponding to a time domain collocated reference block, wherein the lookup table comprises any one of a picture order count difference lookup table, or a picture order count lookup table of a reference frame; storing the lookup table corresponding to the time domain collocated reference block; establishing an index corresponding to the lookup table; and when decoding is performed according to coding units, acquiring stored data from the lookup table corresponding to the time domain collocated reference block through the index corresponding to the lookup table.

The present disclosure relates to an inter-frame coding motion vector processing method and apparatus. The method includes: acquiring an estimated motion vector between a current coded image block and a reference frame coded image block and a position number of the estimated motion vector; reading merge motion vector information corresponding to the position number from a target merge table according to the position number of the estimated motion vector; the target merge table including a relationship between position numbers of estimated motion vectors and merge motion vector information corresponding to the position numbers of the estimated motion vectors; and replacing the estimated motion vector corresponding to the 10 position number with the merge motion vector information, and coding the merge motion vector information. By use of the method, the time of deciding a candidate motion vector in a video inter-frame coding merge mode can be reduced, thereby improving computing efficiency.

A video lag detection method, a video lag detection device, a computer device, a computer-readable storage medium and a computer program product are provided. The method includes: obtaining a lag parameter value corresponding to a to-be-detected video based on a video processing hardware; obtaining a frame rate of the to-be-detected video, and processing the lag parameter value based on the frame rate to obtain a relative lag parameter value; and performing lag detection on the to-be-detected video based on the relative lag parameter value. With the method, detection efficiency can be enhanced and resource occupancy can be reduced.

Programmable pixel blending method and apparatus, computer device, storage medium and computer program product are provided. The method includes: performing rasterization on a first triangle, a second triangle, and a third triangle via the raster unit to obtain triangle coverage information of each triangle; sending the triangle coverage information to the warp assembly unit and the warp reorder unit respectively; assembling, by the warp assembly unit, the first triangle and the second triangle into a first warp, and requesting a warp from a warp request interface based on information of the first warp; executing the first warp based on a warp information cache, a warp synchronization unit, the warp reorder unit, the pixel operation unit, the interpolation unit, and the execution unit; after the first warp is executed, continuing to assemble, by the warp assembly unit, the third triangle and completing a rendering of the third triangle.

The present disclosure relates to a method for detecting a region of interest in an image, a video encoding method, apparatuses, a computer device, a storage medium, and a computer program product. The method includes: obtaining a current to-be-detected image frame, determining a mapping block size parameter value from encoding parameters corresponding to the current to-be-detected image frame, dividing the current to-be-detected image frame to obtain multiple mapping blocks based on the mapping block size parameter value, performing a texture region detection on each mapping block to obtain a texture region of interest detection result. performing a motion region of interest detection on each mapping block to obtain a motion region of interest detection result, and determining a region of interest of the current to-be-detected image frame based on the texture region of interest detection result and the motion region of interest detection result.

The present disclosure relates to a method for detecting a region of interest in an image, a video encoding method, apparatuses, a computer device, a storage medium, and a computer program product. The method includes: obtaining a current to-be-detected image frame, determining a mapping block size parameter value from encoding parameters corresponding to the current to-be-detected image frame, dividing the current to-be-detected image frame to obtain multiple mapping blocks based on the mapping block size parameter value, performing a texture region detection on each mapping block to obtain a texture region of interest detection result. performing a motion region of interest detection on each mapping block to obtain a motion region of interest detection result, and determining a region of interest of the current to-be-detected image frame based on the texture region of interest detection result and the motion region of interest detection result.

Disclosed are parallel encoding and decoding method and apparatus, a computer device, a storage medium, and a computer program product. The method includes: acquiring a synchronization node corresponding to a codec core, and transmitting a frame synchronization detection request to the synchronization node based on a frame to be encoded and decoded; acquiring a frame synchronization result corresponding to the frame synchronization detection request; and determining a encoding and decoding mode for the frame to be encoded and decoded based on the frame synchronization result, and encoding and decoding the frame to be encoded and decoded based on the encoding and decoding mode. By using the method, a plurality of codec cores can be employed to code and decode different frames in the same video in parallel, thereby improving the frame rate.

Disclosed are a data loading method and apparatus for a convolution operation, a computer device, a storage medium and a computer program product. The method includes: splitting a feature image to be loaded into the cache unit into a plurality of sub-feature images; determining a target cache line corresponding to each of the sub-feature images in each of the cache lines according to a positional relationship of each of the sub-feature images in the feature image; wherein target cache lines corresponding to at least two sub-feature images with the same positional relationship are located in the same cache set, and target cache lines corresponding to at least two sub-feature images with an adjacent positional relationship are located in different cache sets; loading a data content of each of the sub-feature images into the target cache line corresponding to each of the sub-feature images.

Disclosed are parallel encoding and decoding method and apparatus, a computer device, a storage medium, and a computer program product. The method includes: acquiring a synchronization node corresponding to a codec core, and transmitting a frame synchronization detection request to the synchronization node based on a frame to be encoded and decoded; acquiring a frame synchronization result corresponding to the frame synchronization detection request; and determining a encoding and decoding mode for the frame to be encoded and decoded based on the frame synchronization result, and encoding and decoding the frame to be encoded and decoded based on the encoding and decoding mode. By using the method, a plurality of codec cores can be employed to code and decode different frames in the same video in parallel, thereby improving the frame rate.