Title :
Low-complexity content-adaptive Lagrange multiplier decision for SSIM-based RD-optimized video coding
Author :
Pinghua Zhao ; Yanwei Liu ; Jinxia Liu ; Ruixiao Yao ; Song Ci ; Hui Tang
Author_Institution :
Inst. of Acoust., Beijing, China
Abstract :
The SSIM-based rate distortion optimization (R-DO) has been proved to be an effective way to promote the perceptual video coding performance, and the Lagrange multiplier decision is the key to the SSIM-based RD-optimized video coding. Through extensively analyzing the characteristics of SSIM-based and SSE-based video distortions, this paper presents a low-complexity content-adaptive Lagrange multiplier decision method. The proposed method first estimates frame-level SSIM-based Lagrange multiplier by scaling the traditional SSE-based Lagrange multiplier with the ratio of SSE-based distortion to SSIM-based distortion. Via predicting the macroblock´s perceptual importance in the whole frame, the macroblock-level Lagrange multiplier is further refined to promote the accuracy of the Lagrange multiplier decision. Experimental results show that the proposed method can obtain almost the same rate-SSIM performance and subjective quality as the state-of-the-art SSIM-based RD-optimized video coding methods with lower computation overheads.
Keywords :
distortion; video coding; Lagrange multiplier decision; SSIM-based RD-optimized video coding methods; SSIM-based rate distortion optimization; low-complexity content-adaptive lagrange multiplier decision; macroblock-level Lagrange multiplier; perceptual video coding performance; Decision support systems; Distortion measurement; Encoding; Indexes; Optimization; Rate-distortion; Video coding;
Conference_Titel :
Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-5760-9
DOI :
10.1109/ISCAS.2013.6571886