NDLI: Lagrangian multiplier optimization using correlations in residues

Content Provider	IEEE Xplore Digital Library
Author	Zhenyu Liu Dongsheng Wang Junwei Zhou Ikenaga, T.
Copyright Year	2012
Description	Author affiliation: TNList, Tsinghua University, Beijing 100084, China (Dongsheng Wang) \|\| Graduate School of IPS, Waseda University, Kitakyushu 808-0135, Japan (Zhenyu Liu; Ikenaga, T.) \|\| Oracle Corporation, Redwood Shores, CA 94065 USA (Junwei Zhou)
Abstract	Rate distortion optimization (RDO) algorithm plays the vital role in the up to date hybrid video codec H.264/AVC. The RDO algorithm of H.264/AVC reference software is built up by assuming that the transformed residues are memoryless variables. However, our experiments reveal that, for some sequences, the strong temporal correlations exist in the prediction residues. This paper extends the Lagrangian optimization techniques by modeling the transformed residues as the first-order Markov source and calibrating the distortion model with the piecewise approximation function. The proposed algorithms adjust the Lagrangian multiplier dynamically to improve the overall coding quality. Comprehensive experiments testify that, as compared with the JM reference software, our optimizations can achieve up to 1.875dB coding gain. Moreover, our algorithms posses more robust coding performance and introduce less computational overhead than the Laplace distribution based methods. The inherent short process latency makes it possible to cooperate our algorithms with rate control operation. Last but not least, the proposed approach is also useful for the emerging standard, HEVC.
Starting Page	1185
Ending Page	1188
File Size	181109
Page Count	4
File Format	PDF
ISBN	9781467300452
ISSN	15206149
e-ISBN	9781467300469
e-ISBN	9781467300445
DOI	10.1109/ICASSP.2012.6288099
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Encoding Video coding Quantization Gain Optimization Correlation Rate-distortion HEVC Lagrangian Multiplier Rate Distortion Optimization Hybrid Video Coding H.264/AVC
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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