Coarse scale cost–utility approach for efficient unequal loss protection

The framework of unequal loss protection (ULP) is an attractive method for the protection of the embedded image or video data source generated by a scalable coding scheme in the environment of packet switched networks. In this paper, an efficient preprocessing algorithm is presented based on the ide...

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Veröffentlicht in:Signal processing. Image communication Jg. 17; H. 8; S. 587 - 596
Hauptverfasser: Chen, Yisong, Wang, Guoping, Dong, Shihai
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier B.V 01.09.2002
Elsevier
Schlagworte:
Applied sciences
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Forward error correcting
Information, signal and communications theory
Multiple description coding
Scalable coding
Signal and communications theory
Signal, noise
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Unequal loss protection
Scalable coding
Forward error correcting
Multiple description coding
Unequal loss protection
Scalability
Utility theory
Image processing
Coding
Video signal
Signal processing
Error correction
Algorithm
ISSN:0923-5965, 1879-2677
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:The framework of unequal loss protection (ULP) is an attractive method for the protection of the embedded image or video data source generated by a scalable coding scheme in the environment of packet switched networks. In this paper, an efficient preprocessing algorithm is presented based on the idea of the coarse scale cost–utility (CSCU) working curve. The experimental results show that the CSCU method significantly improves the efficiency of the ULP assignment framework with substantial memory and computation savings. We believe that the idea of coarse scale operation can also be successfully used in many other applications.
Bibliographie:ObjectType-Article-2
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ISSN:0923-5965
1879-2677
DOI:10.1016/S0923-5965(02)00046-2