An Estimation Optimization Algorithm of Side Information Based on General Prediction

DOI

10.2991/cecs-18.2018.43How to use a DOI?

Keywords

general prediction, Wyner-Ziv video coding, side information estimation.

Abstract

The coding efficiency of the Wyner-Ziv video decoder is largely dependent on the quality of the side information obtained in the decoder. The reason why constructing effective side information is difficult is partly caused by unavailability of the original video sequence in the decoder. The traditional motion search method is used to obtain side information, which greatly increases the complexity of Wyner-Ziv video decoding. This paper proposes a new method of extracting side information based on the general prediction idea. This new method is called Wyner-Ziv Video Coding (WZUP) with general prediction. This method does not conduct motion search in the decoder or presuppose a model for the original input video sequence. Instead, side information is estimated based on observations of video data that have been reconstructed in the past. Through testing, this method can greatly reduce the decoder's decoding complexity and achieve good side information estimation performance. This makes it possible to design video encoders and decoders with low computation 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 Zhou
PY  - 2018/07
DA  - 2018/07
TI  - An Estimation Optimization Algorithm of Side Information Based on General Prediction
BT  - Proceedings of the 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)
PB  - Atlantis Press
SP  - 252
EP  - 258
SN  - 2352-538X
UR  - https://doi.org/10.2991/cecs-18.2018.43
DO  - 10.2991/cecs-18.2018.43
ID  - Zhou2018/07
ER  -