Effective motion vector telescopic encoding method

Abstract

The invention discloses a fine granular scalable coding scheme of motion vectors. Firstly, a motion vector quantization algorithm is adopted to form a motion vector base layer and a motion vector enforcement layer; then by using a fractional bit-plane encoding, the fractional bit-plane encoding is carried out for the motion vector quantization residual to form a feasible truncation point of a motion vector subplane; and then by using a motion vector coding rate optimization, an optimized motion vector truncation point is formed; finally by using a joint rate allocation, allocation of a joint rate is carried out for a motion vector data and a motion estimation residual data to get a code stream fitting with the need of users for the code stream and a temporal and spatial resolution. Therefore, the problem of the video transmission and video application is improved under the condition of low code stream and the ability of scalable video code stream to satisfy different terminal users isstrengthened.

Description

technical field [0001] The invention belongs to the field of video coding and decoding. Specifically, it relates to a motion vector scalability coding method in a scalable video codec architecture. Background technique [0002] Compared with the traditional block DCT technology and the digital video codec system (H.26x and MPEG series) of the motion compensation DPCM closed-loop architecture, the video coding architecture based on wavelet transform has the advantages of adaptive spatial domain, time domain and code rate (quality). ) scalability, and can meet the heterogeneity of video transmission network, the volatility of network bandwidth and the diversity of user video receiving terminals, so as to meet the development of modern information society and the needs of users. Due to the limitation of the network or the terminal, the video may be applied in the case of a lower bit rate or a lower spatial resolution, so it is necessary to extract (discard) the bit stream of t...

AI Technical Summary

Problems solved by technology

This leads to two problems. First, in order to enable effective reconstruction at the receiving end, there is a fixed bit rate lower bound for scalable video bit stream transmission, that is, the bandwidth required to completely transmit motion vector information; secondly, low bit rate and low space In the case of resolution, the data in the residual part of the pixel motion estimation is already lossy, and the reconstruction of the video does not require complete and accurate motion vector information, and there is information redundancy in the transmission of complete motion vectors

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