Joint Rate Allocation for Multiprogram Video Coding Using FGS

In this paper, we address the problem of joint rate allocation for scalable video coding (SVC) of multiple video programs using the fine granularity scalability (FGS), which is not specified by any current H.264/AVC profile. Most of the existing approaches are based on non-SVC platforms, where compu...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2010-06, Vol.20 (6), p.829-837
Main Authors: YU WANG, CHAU, Lap-Pui, YAP, Kim-Hui
Format: Article
Language:English
Subjects:
Adaptation
Algorithm design and analysis
Algorithms
Allocations
Applied sciences
Automatic voltage control
Circuits
Coding
Coding, codes
Employment training programs
Encoding
Estimates
Exact sciences and technology
Image processing
Information, signal and communications theory
Joint rate allocation
Multiplexing
Organization, operation and development plans
Piecewise linear techniques
Platforms
Radiocommunications
Rate-distortion
Scalability
scalable video coding (SVC)
Signal and communications theory
Signal processing
Static VAr compensators
statistical multiplexing
Telecommunications
Telecommunications and information theory
Transcoding
video adaptation
Video coding
Video compression
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Summary:In this paper, we address the problem of joint rate allocation for scalable video coding (SVC) of multiple video programs using the fine granularity scalability (FGS), which is not specified by any current H.264/AVC profile. Most of the existing approaches are based on non-SVC platforms, where computationally expensive encoding or transcoding is demanded to adjust the bit-rate of each video program. Different from all these works, we develop a new statistical multiplexing system, where FGS is applied to compress the video programs. First, we propose an efficient look-ahead approach to distribute the base layer coding bit-rate. Second, a piecewise linear model is applied to accurately estimate the rate-distortion relationship in the FGS layers. Based on this model, a novel algorithm is designed to dynamically allocate the available bandwidth to different programs for rate adaptation in order to minimize the variation of quality of different video programs. Experiments are carried out to verify the performance of the proposed scheme by comparing it with existing methods. The results demonstrate the superiority of the proposed scheme and the quality difference between different programs is greatly reduced.
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2010.2045919