Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding

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 b...

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Main Authors: Ying Chen, Guizhong Liu
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/3/181
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author Ying Chen
Guizhong Liu
author_facet Ying Chen
Guizhong Liu
author_sort Ying Chen
collection DOAJ
description 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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spelling doaj.art-0bc21cc4fc2b4e0291f8319f72e355fe2022-12-22T01:57:53ZengMDPI AGEntropy1099-43002018-03-0120318110.3390/e20030181e20030181Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video CodingYing Chen0Guizhong Liu1School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaRate-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.http://www.mdpi.com/1099-4300/20/3/181rate-distortion optimizationmode decisionscalable video codingLagrange multiplier3-D wavelet-based SVCmotion-compensated temporal filtering
spellingShingle Ying Chen
Guizhong Liu
Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding
Entropy
rate-distortion optimization
mode decision
scalable video coding
Lagrange multiplier
3-D wavelet-based SVC
motion-compensated temporal filtering
title Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding
title_full Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding
title_fullStr Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding
title_full_unstemmed Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding
title_short Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding
title_sort content adaptive lagrange multiplier selection for rate distortion optimization in 3 d wavelet based scalable video coding
topic rate-distortion optimization
mode decision
scalable video coding
Lagrange multiplier
3-D wavelet-based SVC
motion-compensated temporal filtering
url http://www.mdpi.com/1099-4300/20/3/181
work_keys_str_mv AT yingchen contentadaptivelagrangemultiplierselectionforratedistortionoptimizationin3dwaveletbasedscalablevideocoding
AT guizhongliu contentadaptivelagrangemultiplierselectionforratedistortionoptimizationin3dwaveletbasedscalablevideocoding