Optimal multi-layer adaptation of SVC video over heterogeneous environments
Pages 308 - 313
Abstract
Scalable video coding (SVC) is a new video coding format which provides scalability in three dimensional (SNR-spatio-temporal) space. In this paper, we focus on the adaptation in SNR dimension. Usually, a SVC bitstream may contain multiple spatial layers, and each spatial layer may be enhanced by up to 3 FGS layers. To meet a bitrate constraint, the FGS data of different spatial layers can be truncated in various manners. However the contributions of FGS layers to the overall/collective video quality are different. In this work, we propose an optimized framework to control the SNR scalability across multiple spatial layers. Our proposed framework has the flexibility in allocating the resource (i.e. bitrate) among spatial layers, where the overall quality is defined as a function of all spatial layers' qualities and can be modified on the fly.
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- Optimal multi-layer adaptation of SVC video over heterogeneous environments
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Published In
August 2007
716 pages
ISBN:9781595936950
DOI:10.1145/1280940
- General Chairs:
- Mohsen Guizani,
- Hsiao-Hwa Chen,
- Program Chair:
- Xi Zhang
Copyright © 2007 ACM.
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Published: 12 August 2007
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IWCMC07: International Wireless Communications and Mobile Computing Conference
August 12 - 16, 2007
Hawaii, Honolulu, USA
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