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231224s2013 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2013.2272516
|2 doi
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|a eng
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| 100 |
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|a Xiong, Ruiqin
|e verfasserin
|4 aut
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|a PET protection optimization for streaming scalable videos with multiple transmissions
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|c 2013
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 14.04.2014
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|a Date Revised 19.09.2013
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a This paper investigates priority encoding transmission (PET) protection for streaming scalably compressed video streams over erasure channels, for the scenarios where a small number of retransmissions are allowed. In principle, the optimal protection depends not only on the importance of each stream element, but also on the expected channel behavior. By formulating a collection of hypotheses concerning its own behavior in future transmissions, limited-retransmission PET (LR-PET) effectively constructs channel codes spanning multiple transmission slots and thus offers better protection efficiency than the original PET. As the number of transmission opportunities increases, the optimization for LR-PET becomes very challenging because the number of hypothetical retransmission paths increases exponentially. As a key contribution, this paper develops a method to derive the effective recovery-probability versus redundancy-rate characteristic for the LR-PET procedure with any number of transmission opportunities. This significantly accelerates the protection assignment procedure in the original LR-PET with only two transmissions, and also makes a quick and optimal protection assignment feasible for scenarios where more transmissions are possible. This paper also gives a concrete proof to the redundancy embedding property of the channel codes formed by LR-PET, which allows for a decoupled optimization for sequentially dependent source elements with convex utility-length characteristic. This essentially justifies the source-independent construction of the protection convex hull for LR-PET
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Taubman, David S
|e verfasserin
|4 aut
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|a Sivaraman, Vijay
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 22(2013), 11 vom: 17. Nov., Seite 4364-79
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|g month:11
|g pages:4364-79
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|u http://dx.doi.org/10.1109/TIP.2013.2272516
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