Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China
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Entropy 2018, 20(3), 181; https://doi.org/10.3390/e20030181
Received: 31 January 2018
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Revised: 25 February 2018
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Accepted: 6 March 2018
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Published: 8 March 2018
(This article belongs to the Special Issue Rate-Distortion Theory and Information Theory)
Rate-distortion optimization (RDO) plays an essential role in substantially enhancing the coding efficiency. Currently, rate-distortion optimized mode decision is widely used in scalable video coding (SVC). Among all the possible coding modes, it aims to select the one which has the best trade-off between bitrate and compression distortion. Specifically, this tradeoff is tuned through the choice of the Lagrange multiplier. Despite the prevalence of conventional method for Lagrange multiplier selection in hybrid video coding, the underlying formulation is not applicable to 3-D wavelet-based SVC where the explicit values of the quantization step are not available, with on consideration of the content features of input signal. In this paper, an efficient content adaptive Lagrange multiplier selection algorithm is proposed in the context of RDO for 3-D wavelet-based SVC targeting quality scalability. Our contributions are two-fold. First, we introduce a novel weighting method, which takes account of the mutual information, gradient per pixel, and texture homogeneity to measure the temporal subband characteristics after applying the motion-compensated temporal filtering (MCTF) technique. Second, based on the proposed subband weighting factor model, we derive the optimal Lagrange multiplier. Experimental results demonstrate that the proposed algorithm enables more satisfactory video quality with negligible additional computational complexity.
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Keywords:
rate-distortion optimization; mode decision; scalable video coding; Lagrange multiplier; 3-D wavelet-based SVC; motion-compensated temporal filtering
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MDPI and ACS Style
Chen, Y.; Liu, G. Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding. Entropy 2018, 20, 181. https://doi.org/10.3390/e20030181
AMA Style
Chen Y, Liu G. Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding. Entropy. 2018; 20(3):181. https://doi.org/10.3390/e20030181
Chicago/Turabian StyleChen, Ying, and Guizhong Liu. 2018. "Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding" Entropy 20, no. 3: 181. https://doi.org/10.3390/e20030181
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