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