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Optimal multi-layer adaptation of SVC video over heterogeneous environments
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International Conference On Communications And Mobile Computing archive
Proceedings of the 2007 international conference on Wireless communications and mobile computing table of contents
Honolulu, Hawaii, USA
SESSION: Multimedia over wireless symposium: collaborative and optimization for multimedia table of contents
Pages: 308 - 313  
Year of Publication: 2007
ISBN:978-1-59593-695-0
Authors
Truong Cong Thang  Information and Communications University, Daejeon, South Korea and Electronics and Telecommunications Research Institute, Daejeon, South Korea
Dong Su Lee  Information and Communications University, Daejeon, South Korea
Jung Won Kang  Electronics and Telecommunications Research Institute, Daejeon, South Korea
Yong Man Ro  Information and Communications University, Daejeon, South Korea
Sponsors
ACM: Association for Computing Machinery
SIGDOC : ACM Special Interest Group on Systems Documentation
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Truong Cong Thang: colleagues
Dong Su Lee: colleagues
Jung Won Kang: colleagues
Yong Man Ro: colleagues