Joint video/depth rate allocation for 3D video coding based on view synthesis distortion model

Joint video/depth rate allocation is an important optimization problem in 3D video coding. To address this problem, this paper proposes a distortion model to evaluate the synthesized view without access to the captured original view. The proposed distortion model is an additive model that accounts f...

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Bibliographic Details
Published in:Signal processing. Image communication Vol. 24; no. 8; pp. 666 - 681
Main Authors: Liu, Yanwei, Huang, Qingming, Ma, Siwei, Zhao, Debin, Gao, Wen
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 01.09.2009
Elsevier
Subjects:
3D video coding
Allocations
Applied sciences
Coding
Computational efficiency
Detection, estimation, filtering, equalization, prediction
Distortion
Distortion model
Exact sciences and technology
Image processing
Information, signal and communications theory
Mathematical models
Rate allocation
Sampling, quantization
Signal and communications theory
Signal processing
Signal, noise
Synthesis
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Three dimensional
Transmission and modulation (techniques and equipments)
View synthesis
Distortion model
3D video coding
View synthesis
Rate allocation
Video coding
Performance evaluation
Warping
Spectral properties
Resource allocation
Information rate
Computational complexity
Information transmission
Linear model
Optimization
Video signal processing
Search algorithm
Signal quantization
High bit rate
Resource management
Signal synthesis
Piecewise linearization
Power spectrum
High rate transmission
ISSN:0923-5965, 1879-2677
Online Access:Get full text
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Summary:Joint video/depth rate allocation is an important optimization problem in 3D video coding. To address this problem, this paper proposes a distortion model to evaluate the synthesized view without access to the captured original view. The proposed distortion model is an additive model that accounts for the video-coding-induced distortion and the depth-quantization-induced distortion, as well as the inherent geometry distortion. Depth-quantization-induced distortion not only considers the warping error distortion, which is described by a piecewise linear model with the video power spectral property, but also takes into account the warping error correlation distortion between two sources reference views. Geometry distortion is approximated from that of the adjacent view synthesis. Based on the proposed distortion model, a joint rate allocation method is proposed to seek the optimal trade-off between video bit-rate and depth bit-rate for maximizing the view synthesis quality. Experimental results show that the proposed distortion model is capable of approximately estimating the actual distortion for the synthesized view, and that the proposed rate allocation method can almost achieve the identical rate allocation performance as the full-search method at less computational cost. Moreover, the proposed rate allocation method consumes less computational cost than the hierarchical-search method at high bit-rates while providing almost the equivalent rate allocation performance.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0923-5965
1879-2677
DOI:10.1016/j.image.2009.06.002