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YUV Correction for Multi-View Video Compression
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.119318th International Conference on Patt ...
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Yushan Chen, Canhui Cai, Jilin Liu, "YUV Correction for Multi-View Video Compression," Pattern Recognition, International Conference on, vol. 3, pp. 734-737, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.1193,
author = {Yushan Chen and Canhui Cai and Jilin Liu},
title = {YUV Correction for Multi-View Video Compression},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2006},
issn = {1051-4651},
pages = {734-737},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1193},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - YUV Correction for Multi-View Video Compression
SN - 1051-4651
SP734
EP737
A1 - Yushan Chen,
A1 - Canhui Cai,
A1 - Jilin Liu,
PY - 2006
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Yushan Chen, Huaqiao University, Quanzhou, China
Canhui Cai, Huaqiao University, Quanzhou, China
Jilin Liu, Zhejiang University, Hangzhou, China
A luminance and color correction algorithm for multi-view video compression is proposed in this paper. Due to the dissimilar radiometric characteristics of different cameras and the variation of lighting conditions, significant luminance and color discrepancies among different camera views often exist in multi-view video sequences. These variations may cause the wrong disparity matching and result in the degradation of coding efficiency. To elevate the multiview video coding efficiency, a discrepancy model of different views based on modulation and translation parameters is proposed, and the discrepancies among different views are compensated before disparitymatching. The optimization of compensation parameters is discussed, and histogram matching method is used to mitigate the computational load. Experimental results on both visual quality and coding efficiency have verified the validity and robustness of the proposed method.
Citation:
Yushan Chen, Canhui Cai, Jilin Liu, "YUV Correction for Multi-View Video Compression," icpr, vol. 3, pp.734-737, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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