Target motion vector selection method and device, electronic device and medium

Abstract

The embodiment of the invention provides a target motion vector selection method and device, an electronic device and a medium. The method comprises the following steps of: for each prediction unit ina to-be-coded video, obtaining a target candidate motion vector corresponding to each prediction unit, sequentially obtaining the coding distortion cost of each target candidate motion vector; judging whether the coding distortion cost of the obtained target candidate motion vector is smaller than a first preset threshold value or not; and when it is judged that the coding distortion cost of theobtained first target candidate motion vector is smaller than a first preset threshold value, determining the first target candidate motion vector as a target motion vector, and stopping obtaining thecoding distortion cost of the next target candidate motion vector of the first target candidate motion vector. By applying the target motion vector selection method and device, the electronic deviceand the medium provided by the embodiment of the invention, the time consumption of the target motion vector selection process can be reduced.

Description

technical field [0001] The present invention relates to the technical field of video coding, in particular to a method, device, electronic equipment and medium for selecting a target motion vector. Background technique [0002] With the continuous development of multimedia digital video technology, the data volume of video files is increasing, which brings a lot of inconvenience to the transmission and storage of video files. Therefore, data compression technology for video files has been greatly developed. The data compression of video files, also known as video encoding and video compression, works as follows: a video file is composed of a large number of video image frames, and there is a strong correlation between each video image frame, that is to say, there are a large number of redundant remaining information. Redundant information can be divided into spatial redundant information and temporal redundant information. Compression technology is to remove redundant inf...

AI Technical Summary

Problems solved by technology

[0004] However, in the prior art, it is necessary to calculate the encoding distortion costs of all candidate motion vectors of the current prediction unit in order to obtain the motion vector with the smallest encoding cost. Therefore, there is a time-consuming technique in the prior art for selecting the target motion vector question

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