Shanghai Bilibili Technology Co., Ltd.

Tianxiao Ye

Xiaobo Li

Bo Wang

Chaoran Li

Jianqiang Ding

Longwen Gao

Qi Tang

Yingxuan Shi

Zhiwei Chen

Xiang Zhu

Xiaolong Yan

Dada Liao

The present disclosure provides an image processing method and apparatus, a device, and a medium, and relates to the field of image and video processing technologies. An implementation solution includes: performing frequency domain transform on a target image and obtaining a frequency coefficient matrix of the target image, the frequency coefficient matrix including at least one non-zero frequency coefficient; determining a non-zero block in the frequency coefficient matrix based on a position of the at least one non-zero frequency coefficient; determining a corresponding transform submatrix and a corresponding transposed submatrix of the non-zero block; and determining an inverse transform result of the frequency coefficient matrix based on the transform submatrix, the non-zero block, and the transposed submatrix.

Image processing method and apparatus, electronic device, and storage medium

Techniques for data processing in an edge offset mode of sample adaptive offset are provided. The techniques include: traversing reconstructed pixels in a coding tree block, and calculating a residual value between each reconstructed pixel and original pixel; traversing all first reconstructed pixels in a non-boundary part of the coding tree block, and calculating a category of each traversed first reconstructed pixel in each direction; traversing all second reconstructed pixels in a boundary part of the coding tree block, and calculating a category of each traversed second reconstructed pixel along a single direction; and calculating an accumulated residual value of reconstructed pixels along the four directions and an accumulated number of reconstructed pixels under the category based on the category of each first reconstructed pixel the edge offset modes along the four directions, the category of each second reconstructed pixel along the single direction, and each residual value.

Data processing in edge offset mode of sample adaptive offset

A method for determining a sample adaptive offset mode includes: obtaining a motion vector included in a first coding tree block, and obtaining a reference frame of a video frame of the first coding tree block; obtaining a video resolution and a frame rate, calculating a threshold based on the video resolution and the frame rate; if it is determined that the motion vector is not greater than the threshold, determining a second coding tree block based on the motion vector; determining whether an offset mode is trusted; and if the offset mode is trusted, obtaining offset modes of all second coding blocks, and using obtained all types of offset modes as offset modes of the first coding tree block.

Determination of sample adaptive offset mode of coding tree block

A method, a device, and a medium are provided. The method includes: obtaining a residual of each of a plurality of target pixels of a target image, the residual being represented by a first preset number of bits; and modifying, in response to determining that the plurality of residuals are within a preset value range, each of the plurality of residuals to be represented by a second preset number of bits.

Sample adaptive offset

A method and an apparatus for sample adaptive offset, a device, and a medium are provided. An implementation is: obtaining a band value and a residual of each pixel in a target image; selecting a plurality of adjacent target pixels from the target image; and performing band information calculation operation for the plurality of adjacent target pixels, the band information calculation operation including: obtaining a maximum band value and a minimum band value of the plurality of target pixels; determining a plurality of preset band values based on the maximum band value and the minimum band value; and calculating band information for each of the plurality of preset band values based on the band values and the residuals of the plurality of target pixels.

The present disclosure describes techniques of processing information flow and synchronously displaying image s, mask frames and comment information. According to the present disclosure, a system processes a first information stream uploaded by a stream pushing terminal to obtain a frame image and mask frame data, the mask frame data corresponding to the frame image and identifying a timestamp offset indicative of a time difference between the mask frame data and a playing timestamp of the frame image. The system synthesizes the frame image and the mask frame data to generate a second information stream; and output the second information stream to a client for synchronously displaying the image frame, a corresponding mask frame, and the comment information.

Method and system of processing information flow and method of displaying comment information

Techniques for processing videos are described herein. The disclosed techniques include obtaining coding time parameters of coded frames of a video, the coding time parameters comprising a first parameter indicative of a coding time period for coding each frame under a non-waiting state and a second parameter indicative of a total time period during which each frame is in a coding process; and determining a coding complexity parameter for a frame to be coded based on the coding time parameters, wherein the determining a coding complexity parameter further comprises determining whether the coding complexity parameter is downgraded based on the second parameter, and in response to a determination that the coding complexity parameter is not downgraded, determining that the coding complexity parameter is upgraded based on the first parameter.

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Shanghai, China

Tianxiao Ye