Low Complexity Mode Decision for 3D-HEVC
Joint Authors
Li, Nana
Gan, Yong
Zhang, Qiuwen
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-28
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhang, Qiuwen& Li, Nana& Gan, Yong. 2014. Low Complexity Mode Decision for 3D-HEVC. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1049441
Modern Language Association (MLA)
Zhang, Qiuwen…[et al.]. Low Complexity Mode Decision for 3D-HEVC. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1049441
American Medical Association (AMA)
Zhang, Qiuwen& Li, Nana& Gan, Yong. Low Complexity Mode Decision for 3D-HEVC. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1049441
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049441