DocumentCode :
104608
Title :
Exploration of Practical HEVC/H.265 Sample Adaptive Offset Encoding Policies
Author :
Yongseok Choi ; Jaehwan Joo
Author_Institution :
Samsung Electron., Suwon, South Korea
Volume :
22
Issue :
4
fYear :
2015
fDate :
Apr-15
Firstpage :
465
Lastpage :
468
Abstract :
A new in-loop filter, sample adaptive offset (SAO) allows the latest video compression standard, HEVC or H.265, to achieve higher coding efficiency both in objective and subjective measures. However, it requires additional operations to estimate the best SAO parameters per coding tree unit (CTU) during the video encoding process, which often leads to many practical issues such as high computational complexity or architectural inefficiency that might not be affordable for low power or real-time video encoders. In this paper, we explore various SAO encoding policies including complexity reduction in the SAO parameter estimation and efforts to remove inefficiency caused by its implementation in a pipelined manner through numerous experimental tests.
Keywords :
adaptive codes; computational complexity; data compression; parameter estimation; video coding; HEVC/H.265; SAO encoding policies; SAO parameter estimation; adaptive offset encoding policies; coding efficiency; coding tree unit; complexity reduction; computational complexity; in-loop filter; video compression standard; video encoders; video encoding process; Computational complexity; Encoding; Estimation; Filtering; Streaming media; Video compression; H.265; high efficiency video coding (HEVC); in-loop filter; sample adaptive offset (SAO); video compression;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2014.2362794
Filename :
6920021
Link To Document :
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