Video coding method, decoding method and device

Abstract

The method sets up video encoding structure (VES) as following: the structure includes multiple compositive frames; each compositive frame includes a I frame, and at least including a P frame after the I frame; then, based on the preset VES to determine type of frame fetched; for Ii frame (i larger than 0), analyzing Ii frame and i-1 compositive frame, determining region, which is contained in background region of i-1 compositive frame, in Ii frame, the determined region as background region of Ii frame, using corresponding denotation of marker directly, and encoding rest foreground region; for Pi frame (i larger than 0), analyzing Pi frame and corresponding Ii frame, determining region, which is contained in background region of Ii frame, in Pi frame, the determined region as background region of Pi frame, using corresponding denotation of marker directly and encoding rest foreground region. The invention also discloses video decoding method, video encoding / decoding devices.

Description

technical field [0001] The present invention relates to the technical field of video transmission, in particular to a video encoding method, a video decoding method and corresponding devices. Background technique [0002] At present, the network has become an indispensable tool in people's daily work and life. With the maturity of network-related technologies, video services such as video chatting and watching videos online have been widely used. [0003] The current mainstream video compression standards include MPEG4, H264 and so on. In these compression techniques, coded images are generally classified into three types: intra-prediction frames (I), inter-prediction frames (P) and bi-prediction frames (B). I frame is generated by encoding a still image in a similar way to JPEG by using spatial correlation; P frame is generated by using temporal correlation and using the previous frame as a reference frame for prediction; B frame It is generated by simultaneously using t...

AI Technical Summary

Problems solved by technology

For example, the interleaving coding scheme requires a large buffer area and is easy to introduce delay; for wireless channels and other channels that are more likely to introduce errors, channel coding techniques such as forward error correction coding (FEC) are also commonly used. method, but this kind of method needs to introduce some redundancy in order to combat bit errors, and the introduction of redundancy in a low-bandwidth environment will undoubtedly have a relatively large impact on data transmission

[0006] To sum up, the current compression coding schemes used in low-bandwidth environments cannot well solve the problem of packet loss affecting video quality while ensuring the data transmission rate.

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