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Low Complexity Mode Decision for 3D-HEVC

High efficiency video coding- (HEVC-) based 3D video coding (3D-HEVC) developed by joint collaborative team on 3D video coding (JCT-3V) for multiview video and depth map is an extension of HEVC standard. In the test model of 3D-HEVC, variable coding unit (CU) size decision and disparity estimation (...

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Detalles Bibliográficos
Autores principales: Zhang, Qiuwen, Li, Nana, Gan, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164800/
https://www.ncbi.nlm.nih.gov/pubmed/25254237
http://dx.doi.org/10.1155/2014/392505
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author Zhang, Qiuwen
Li, Nana
Gan, Yong
author_facet Zhang, Qiuwen
Li, Nana
Gan, Yong
author_sort Zhang, Qiuwen
collection PubMed
description High efficiency video coding- (HEVC-) based 3D video coding (3D-HEVC) developed by joint collaborative team on 3D video coding (JCT-3V) for multiview video and depth map is an extension of HEVC standard. In the test model of 3D-HEVC, variable coding unit (CU) size decision and disparity estimation (DE) are introduced to achieve the highest coding efficiency with the cost of very high computational complexity. In this paper, a fast mode decision algorithm based on variable size CU and DE is proposed to reduce 3D-HEVC computational complexity. The basic idea of the method is to utilize the correlations between depth map and motion activity in prediction mode where variable size CU and DE are needed, and only in these regions variable size CU and DE are enabled. Experimental results show that the proposed algorithm can save about 43% average computational complexity of 3D-HEVC while maintaining almost the same rate-distortion (RD) performance.
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spelling pubmed-41648002014-09-24 Low Complexity Mode Decision for 3D-HEVC Zhang, Qiuwen Li, Nana Gan, Yong ScientificWorldJournal Research Article High efficiency video coding- (HEVC-) based 3D video coding (3D-HEVC) developed by joint collaborative team on 3D video coding (JCT-3V) for multiview video and depth map is an extension of HEVC standard. In the test model of 3D-HEVC, variable coding unit (CU) size decision and disparity estimation (DE) are introduced to achieve the highest coding efficiency with the cost of very high computational complexity. In this paper, a fast mode decision algorithm based on variable size CU and DE is proposed to reduce 3D-HEVC computational complexity. The basic idea of the method is to utilize the correlations between depth map and motion activity in prediction mode where variable size CU and DE are needed, and only in these regions variable size CU and DE are enabled. Experimental results show that the proposed algorithm can save about 43% average computational complexity of 3D-HEVC while maintaining almost the same rate-distortion (RD) performance. Hindawi Publishing Corporation 2014 2014-08-28 /pmc/articles/PMC4164800/ /pubmed/25254237 http://dx.doi.org/10.1155/2014/392505 Text en Copyright © 2014 Qiuwen Zhang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Qiuwen
Li, Nana
Gan, Yong
Low Complexity Mode Decision for 3D-HEVC
title Low Complexity Mode Decision for 3D-HEVC
title_full Low Complexity Mode Decision for 3D-HEVC
title_fullStr Low Complexity Mode Decision for 3D-HEVC
title_full_unstemmed Low Complexity Mode Decision for 3D-HEVC
title_short Low Complexity Mode Decision for 3D-HEVC
title_sort low complexity mode decision for 3d-hevc
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164800/
https://www.ncbi.nlm.nih.gov/pubmed/25254237
http://dx.doi.org/10.1155/2014/392505
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