A Fast Quality Scalable Video Coding Method Based on Compressed Sensing

DOI

10.2991/eame-18.2018.14How to use a DOI?

Keywords

video coding; compressed sensing; quality scalable video coding

Abstract

This paper presents a fast quality scalable video coding method based on compressed sensing(CS). The proposed method obtained the coding scheme of the enhancement MJU by using the interlayer and spatial correlation and kept the base layer’s coding scheme unchanged. And the part in the enhancement layer which needed to be fine quantified was combined with the compressed sensing theory selectively which based on the sparsity of the signal and the complexity of the reconstruction. In order to satisfy the coding syntax structure of the reference software, the measurement value got by compressed sensing was complemented by 0s and the flag bit was set to distinguish the special sub-blocks coded by CS. Experimental results show that the proposed algorithm can effectively improve the efficiency of scalable video coding and reduce the computational complexity.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Min Sun
AU  - Dong Hu
AU  - Jianyu Ding
PY  - 2018/06
DA  - 2018/06
TI  - A Fast Quality Scalable Video Coding Method Based on Compressed Sensing
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 66
EP  - 71
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.14
DO  - 10.2991/eame-18.2018.14
ID  - Sun2018/06
ER  -