Title
On Rate Distortion Optimization Using SSIM
Abstract
In this paper, we present a method for performing rate-distortion optimization (RDO) using a perceptual visual quality metric, the structural similarity index (SSIM), as the target of optimization. Rate-distortion optimization is widely used in modern video codecs to make various encoder decisions to optimize the rate-distortion tradeoff. Typically, the distortion measure used is either sum-of-square error or sum-of-absolute distance, both of which are convenient when used in the RDO framework but not always reflective of a perceptual visual quality. We show that SSIM can be used as the distortion metric in the RDO framework in a simple, yet effective, manner by scaling the Lagrange multiplier used in RDO based on the local variance in that region. The experimental results on the H.264/AVC reference software show that compared to traditional RDO approaches, for the same SSIM score, the proposed approach can achieve an average rate reduction of about 9% and 14% for random access and low-delay encoding configurations. At the same time, there is no significant change in the encoding runtime.
Year
DOI
Venue
2012
10.1109/TCSVT.2013.2240918
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
DocType
Volume
optimisation,sum-of-square error,rate distortion optimization,structural similarity index (ssim),structural similarity index,random processes,perceptual quality,rdo framework,delay encoding configuration,h.264,perceptual-based coding,perceptual visual quality metric,ssim,rate-distortion optimization (rdo),low-delay encoding configurations,distortion metric,sum-of-absolute distance,random access,video coding,avc,lagrange multiplier scaling,modern video codecs,perceptual based coding,distortion measure,rdo,sad,adaptive codes,sse,error statistics,rate distortion theory,lagrange multiplier,video codecs,optimization,measurement,psnr,encoding
Conference
23
Issue
ISSN
ISBN
7
1051-8215
978-1-4673-0044-5
Citations 
PageRank 
References 
19
0.74
23
Authors
3
Name
Order
Citations
PageRank
Chuohao Yeo169242.48
Hui Li Tan2767.42
Yih Han Tan314013.87