Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials

Video Coding with View Scalability Based on Video Selection

Authors
Tao Yan, Xiaoxiong Zhou, Zeliang Liu
Corresponding Author
Tao Yan
Available Online January 2016.
DOI
https://doi.org/10.2991/icsmim-15.2016.4How to use a DOI?
Keywords
Video selection; The relation of inter-views; Scalable Multi-view video coding(SMVC);
Abstract

Multi-view video coding (MVC) demands high compression rates, temporal random access, spatial random access, as well as view scalability. Scalable multi-view video coding based on video selection is proposed. It then uses the position of the cameras and the relation of inter-views to divide all views into base view and enhancement views. Finally, the views quire by the viewers use scalable Multi-view Video Coding (SMVC). The main bitstream is the same as a H.264/AVC mono-sequence bitstream for H.264/AVC compatibility. The auxiliary bitstream come from enhancement views coding.We proposed SMVC scheme is tested with several multiview sequences to determine its view scalability, high coding efficiency.

Copyright
© 2016, 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 4th International Conference on Sensors, Measurement and Intelligent Materials
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-157-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icsmim-15.2016.4How to use a DOI?
Copyright
© 2016, 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  - Tao Yan
AU  - Xiaoxiong Zhou
AU  - Zeliang Liu
PY  - 2016/01
DA  - 2016/01
TI  - Video Coding with View Scalability Based on Video Selection
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 16
EP  - 19
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.4
DO  - https://doi.org/10.2991/icsmim-15.2016.4
ID  - Yan2016/01
ER  -