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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 (...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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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. |
format | Online Article Text |
id | pubmed-4164800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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