Paper Info
Title
An AR based fast mode decision for H.265/HEVC intra coding.
Abstract
As a critical technique to raise coding efficiency in H.265/HEVC (H.265/High Efficiency Video Coding), the number of prediction modes for intra coding is much larger than that in H.264/AVC. However, the large number of prediction modes also leads to high complexity. In this paper, an AR (Auto Regression) based fast mode decision method for H.265/HEVC intra coding is proposed, including an AR based fast mode selection and an MPM (Most Probable Mode) joint fast mode selection method. Considering the correlation between SATD (Sum of Absolute Transformed Differences) cost and RD (Rate-Distortion) cost, we establish a selective function controlled by an adaptive parameter which is acquired by an AR model. According to the distribution of the SATD cost, the selective function can decide which modes can be discarded and which modes can be used for the FMD (Fine Mode Decision). In addition, in order to further reduce the number of candidate modes for FMD, an MPM joint fast mode selection method is presented based on the relationship between MPMs and candidate modes. Experimental results show that just in PU layer, the proposed AR based fast intra mode decision method can save encoding time by 32 % with negligible coding loss in all-intra main configuration compared to the intra mode decision of HM13.0.
Year
DOI
Venue
2017
10.1007/s11042-016-3737-z
Multimedia Tools Appl.
Keywords
Field
DocType
Auto regression,Fast mode decision,H.265/HEVC,Intra coding
Autoregressive model,Algorithmic efficiency,Pattern recognition,Computer science,Coding (social sciences),Mode selection,Correlation,Decision model,Artificial intelligence,Sum of absolute transformed differences,Encoding (memory)
Journal
Volume
Issue
ISSN
76
11
1380-7501
Citations 
PageRank 
References 
5
0.41
12
Authors
6
Name
Order
Citations
PageRank
Fu Li1518.07
Dandan Jiao271.18
Guangming Shi32663184.81
Yi Niu471.46
Chunxiao Fan5122.64
Xue Mei Xie612926.91