Video compression method and device, storage medium and terminal

Abstract

The invention discloses a video compression method and device, a storage medium and a terminal. The method comprises the following steps: determining the number of levels of a level prediction structure according to the maximum playing frame rate and the minimum playing frame rate of a video; determining the number of GOPs according to the number of levels; determining a tree structure of each GOPaccording to the hierarchical prediction structure, the tree structure being used for describing the relevance between each frame of image in the GOP and the number of compressible frames corresponding to each frame of image; executing GOP inter-frame distribution operation based on the tree structures of the plurality of GOPs to obtain a compressed queue; and inputting the compression queue intoa multi-core processor to compress the images in the compression queue in parallel, wherein the number of frames of the images processed by the cores of the multi-core processor in parallel is kept consistent. By means of the scheme, it can be guaranteed that the video compression result based on the multi-core processor and the compression result based on the single-core processor are kept consistent, the operand of each core is basically balanced, the storage amount in the compression period is smaller, and the delay is greatly reduced.

Description

Technical field [0001] The present invention relates to the field of video processing, in particular to a video compression method and device, storage medium, and terminal. Background technique [0002] Slow motion video shooting has been commonly used in daily life scenes. If you want to shoot slow motion video, the video must be compressed at least 120 frames per second (take a resolution of more than 1080P as an example). The current single central processing unit or single intellectual property (Intellectual Property, IP) core cannot achieve real-time compression, and multi-core processing is required at this time. [0003] In addition to the slow-motion playback mode, the compressed slow-motion video needs to provide the requirement of normal playback speed. For example, a 120-frame video is extracted and played every 4 frames. Because there is a high correlation between video compression frames and frames, although only 1 frame is required for every 4 frames, 4 frames need ...

AI Technical Summary

Problems solved by technology

However, the existing video compression standards mostly use Context-based Adaptive Binary Arithmetic Coding (CABAC for short). At this time, the size of the compressed bit stream of the WPP algorithm will be different from that of the single-core, and the requirements are the same as the single-core encoded bit stream. WPP is not applicable in limited scenarios

[0008] To sum up, the existing video compression methods have their own defects, some of which cannot ensure that the compression results based on multi-core processors are consistent with those based on single-core processors, and some have different calculations of each core of multi-core processors during compression. Balanced, some require a lot of storage space during compression

These defects eventually lead to poor video compression results, or a large amount of calculation and storage in the compression process

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