Document Detail


Sliding-window raptor codes for efficient scalable wireless video broadcasting with unequal loss protection.
MedLine Citation:
PMID:  20215084     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Digital fountain codes have emerged as a low-complexity alternative to Reed-Solomon codes for erasure correction. The applications of these codes are relevant especially in the field of wireless video, where low encoding and decoding complexity is crucial. In this paper, we introduce a new class of digital fountain codes based on a sliding-window approach applied to Raptor codes. These codes have several properties useful for video applications, and provide better performance than classical digital fountains. Then, we propose an application of sliding-window Raptor codes to wireless video broadcasting using scalable video coding. The rates of the base and enhancement layers, as well as the number of coded packets generated for each layer, are optimized so as to yield the best possible expected quality at the receiver side, and providing unequal loss protection to the different layers according to their importance. The proposed system has been validated in a UMTS broadcast scenario, showing that it improves the end-to-end quality, and is robust towards fluctuations in the packet loss rate.
Authors:
Pasquale Cataldi; Marco Grangetto; Tammam Tillo; Enrico Magli; Gabriella Olmo
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-03-08
Journal Detail:
Title:  IEEE transactions on image processing : a publication of the IEEE Signal Processing Society     Volume:  19     ISSN:  1941-0042     ISO Abbreviation:  IEEE Trans Image Process     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-07-23     Completed Date:  2010-11-29     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9886191     Medline TA:  IEEE Trans Image Process     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1491-503     Citation Subset:  IM    
Affiliation:
Mobile Communications Department, Eurecom Institute, F-06560 Sophia-Antipolis, France. pasquale.cataldi@eurecom.fr
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artifacts*
Data Compression / methods*
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Pattern Recognition, Automated / methods
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted*
Telecommunications*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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