Video coding method and encoder

Abstract

The invention discloses a video coding method and an encoder. The video coding method comprises the steps of establishing at least two layers of dependence relationship with the frame images of uncoded original videos, wherein the number of the frame images included in the upper layer dependence relationship is smaller than that included in the lower layer dependence relationship, and carrying out coding on the frame images of the original videos, wherein each layer of dependence relationship correspondingly generates a code stream. The video coding method and encoder can be matched with the networks of multiple bandwidths, provide code stream with high-compression ratio, and has good fault-tolerance performance.

Description

technical field [0001] The present invention relates to the field of multimedia signal transmission, and more specifically, relates to a video encoding method and an encoder. Background technique [0002] Video and audio codec technology is the core technology of digital video surveillance system. The quality of the video codec algorithm directly determines the clarity of the image, the bandwidth of network transmission, and the size of the storage space, which is the key to the realization of the technology. . [0003] Compared with the previous coding standards, the H.264 coding standard has some new features, such as motion compensation of multiple reference frames, variable block size motion compensation, intra-frame prediction coding, etc. By using these new features, H.264 is better than other coding standards. It has higher video quality and lower bit rate, so it has been recognized by people. [0004] The encoding architecture of H.265 / HEVC is roughly similar to th...

AI Technical Summary

Problems solved by technology

Therefore, it is difficult for a constant rate video stream to be efficiently transmitted in a network environment with relatively large bandwidth fluctuations, and the reconstruction quality of network terminal video is also affected to some extent.

[0009] Due to factors such as network heterogeneity, channel bandwidth fluctuations, and channel bit errors, it is difficult for the original storage-oriented compression algorithm to meet the requirements of real-time transmission.

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