2014 International Conference on Automatic Control Theory and Application

A Novel Virtual View Distortion Estimation for Depth Maps Coding

Authors
Chun-hua Li, Ping An, Yi-fan Zuo, Chao Yang, Zhao-yang Zhang
Corresponding Author
Chun-hua Li
Available Online June 2014.
DOI
10.2991/acta-14.2014.26How to use a DOI?
Keywords
Three dimensional video (3DV); depth coding; virtual view distortion; Rate-Distortion Optimization (RDO); Multiview plus depth (MVD)
Abstract

an efficient virtual view distortion estimation algorithm for depth maps coding is proposed in this paper, in which the virtual view distortion is calculated based on the analysis of occlusion relationship change. It is judged whether the depth coding errors alter the occlusion relationship. If true, wrong occluded pixels or wrong un-occluded pixels are further distinguished. The wrong occluded pixels should be un-occluded in the virtual view, but are occluded for the depth map coding error. While the wrong un-occluded pixels are reverse. All the pixels in depth maps are classified into four types: the base pixels which neither are occluded nor alter the occlusion relation, the occluded pixels, the wrong occluded pixels and the wrong un- occluded pixels. The virtual distortion is calculated according to the characteristics of different depth map pixel types. Experimental results show that the proposed virtual distortion estimation algorithm is effective. When the traditional Rate-Distortion Optimization (RDO) in depth map coding is replaced by the estimating algorithm proposed in this paper, the average coding bitrates reduce about 20%. It demonstrates the better subject quality also.

Copyright
© 2014, 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
2014 International Conference on Automatic Control Theory and Application
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2014
ISBN
978-94-6252-011-0
ISSN
2352-5398
DOI
10.2991/acta-14.2014.26How to use a DOI?
Copyright
© 2014, 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  - Chun-hua Li
AU  - Ping An
AU  - Yi-fan Zuo
AU  - Chao Yang
AU  - Zhao-yang Zhang
PY  - 2014/06
DA  - 2014/06
TI  - A Novel Virtual View Distortion Estimation for Depth Maps Coding
BT  - 2014 International Conference on Automatic Control Theory and Application
PB  - Atlantis Press
SP  - 104
EP  - 108
SN  - 2352-5398
UR  - https://doi.org/10.2991/acta-14.2014.26
DO  - 10.2991/acta-14.2014.26
ID  - Li2014/06
ER  -