DocumentCode
590278
Title
Uniform probability model for deriving intra prediction angular table in High Efficiency Video Coding
Author
Guichun Li ; Lingzhi Liu ; Nam Ling ; Jianhua Zheng ; Zhang, Peng
Author_Institution
Dept. of Comput. Eng., Santa Clara Univ., Santa Clara, CA, USA
fYear
2012
fDate
27-30 Nov. 2012
Firstpage
1
Lastpage
5
Abstract
High Efficiency Video Coding (HEVC) is the latest international standard of video coding under development. In HEVC, the new technology of intra prediction, Unified Directional Intra (UDI), has shown significant improvement on coding performance. Comparing to the intra prediction of H.264/AVC, significant performance improvement was observed for all intra configured tests. In the HEVC Test Model (HM), a predefined angular table is used for generating predicted sample values of UDI. However, how the table is obtained was not clearly presented in the literature. This paper gives a detailed derivation and explanation based on a novel uniform probability model. With this novel model, angular table derivation method was investigated and the selection of table entries used in UDI prediction is well explained. Simulation results show that using the improved angular table proposed in this paper, Bjontegaard Delta (BD)-rate improvement is achieved for sequences with large amount of various textures, in both all intra high efficiency and low complexity configurations.
Keywords
probability; video coding; BD; Bjøntegaard delta-rate improvement; H.264-AVC; HEVC test model; HM; UDI prediction; high efficiency video coding; intraprediction angular table derivation method; unified directional intraprediction; uniform probability model; Collaboration; Encoding; Joints; Predictive models; Transform coding; Video coding; HEVC; UDI; Video coding; angular prediction; angular table; intra prediction; visual communications;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Communications and Image Processing (VCIP), 2012 IEEE
Conference_Location
San Diego, CA
Print_ISBN
978-1-4673-4405-0
Electronic_ISBN
978-1-4673-4406-7
Type
conf
DOI
10.1109/VCIP.2012.6410752
Filename
6410752
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