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ID 110596
Author
Jiang, Xiantao Department of Electronics and Information Engineering, Tongji University
Song, Tian Department of Electrical and Electronics Engineering, The University of Tokushima Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Shi, Wen Department of Electrical and Electronics Engineering, The University of Tokushima
Katayama, Takafumi Department of Electrical and Electronics Engineering, The University of Tokushima Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Shimamoto, Takashi Department of Electrical and Electronics Engineering, The University of Tokushima Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Wang, Lisheng Department of Electronics and Information Engineering, Tongji University
Keywords
HEVC
CU size
encoding complexity
probability graphical model
Content Type
Journal Article
Description
In this work, a high efficiency coding unit (CU) size decision algorithm is proposed for high efficiency video coding (HEVC) inter coding. The CU splitting or non-splitting is modeled as a binary classification problem based on probability graphical model (PGM). This method incorporates two sub-methods: CU size termination decision and CU size skip decision. This method focuses on the trade-off between encoding efficiency and encoding complexity, and it has a good performance. Particularly in the high resolution application, simulation results demonstrate that the proposed algorithm can reduce encoding time by 53.62%-57.54%, while the increased BD-rate are only 1.27%-1.65%, compared to the HEVC software model.
Journal Title
IEICE Transactions on Information and Systems
ISSN
17451361
NCID
AA11510321
Publisher
The Institute of Electronics, Information and Communication Engineers
Volume
E99-D
Issue
11
Start Page
2836
End Page
2839
Sort Key
2836
Published Date
2016-11-01
Remark
(c)2016 The Institute of Electronics, Information and Communication Engineers
IEICE Transactions Online TOP:http://search.ieice.org/
EDB ID
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Publisher
departments
Science and Technology