Proceedings of the 2015 International Symposium on Computers & Informatics

A Multi-reference Viewpoint Selection Algorithm Based on Viewpoint Similarity Judgment

Authors
Jian-ping Wu, Jian Zhang
Corresponding Author
Jian-ping Wu
Available Online January 2015.
DOI
10.2991/isci-15.2015.147How to use a DOI?
Keywords
characteristic vector of image block; Video compression; similarity determination; multiview vidco
Abstract

This paper proposes a type of reference viewpoint selection method based on the viewpoint similarity standard that reduces computation complexity and increases coding performance. Experimental results show that the proposed method can reduce the computational complexity in the muhiview video coding with the same quality.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 International Symposium on Computers & Informatics
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/isci-15.2015.147
ISSN
2352-538X
DOI
10.2991/isci-15.2015.147How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Jian-ping Wu
AU  - Jian Zhang
PY  - 2015/01
DA  - 2015/01
TI  - A Multi-reference Viewpoint Selection Algorithm Based on Viewpoint Similarity Judgment
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 1120
EP  - 1127
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.147
DO  - 10.2991/isci-15.2015.147
ID  - Wu2015/01
ER  -