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 is strengthened.

Description

technical field [0001] The invention belongs to the field of video coding and decoding. It specifically relates to the motion vector scalable coding method in the 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 motion compensation DPCM closed-loop architecture, the video coding system structure based on wavelet transform has adaptive space domain, time domain and code rate (quality ) scalability, and can meet the heterogeneity of video transmission network (Heterogeneous), the fluctuation 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 limitations of the network or terminal, the video may be applied at a lower bit rate or lower spatial resolution, which requires extraction (discarding) of the video bit stream. The traditional proc...

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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