Abstract | ||
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Multiple description coding (MDC) makes use of redundant representations of multimedia data to achieve resiliency. Descriptions should be generated so that the quality obtained when decoding a subset of them only depends on their number and not on the particular received subset. In this paper, we propose a method based on the principle of encoding the source at several rates, and properly blending the data encoded at different rates to generate the descriptions. The aim is to achieve efficient redundancy exploitation, and easy adaptation to different network scenarios by means of fine tuning of the encoder parameters. We apply this principle to both JPEG 2000 images and H.264/AVC video data. We consider as the reference scenario the distribution of contents on application-layer overlays with multiple-tree topology. The experimental results reveal that our method favorably compares with state-of-art MDC techniques. |
Year | DOI | Venue |
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2010 | 10.1109/TIP.2010.2045683 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
encoder parameter,state-of-art mdc technique,avc video data,different network scenario,image coding,image processing,easy adaptation,jpeg 2000,error resilience,encoding,different rate,multirate coding,multiple-tree topology,video data,multiple description coding,multiple description,multimedia data,h.264/avc,application-layer overlay,efficient redundancy exploitation,network topology,decoding,protocols,resilience,unicast | Computer science,Theoretical computer science,Redundancy (engineering),Artificial intelligence,JPEG 2000,Multiple description coding,Pattern recognition,Algorithm,Error detection and correction,Encoder,Decoding methods,Image compression,Encoding (memory) | Journal |
Volume | Issue | ISSN |
19 | 7 | 1941-0042 |
Citations | PageRank | References |
12 | 0.58 | 31 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tammam Tillo | 1 | 667 | 49.97 |
Enrico Baccaglini | 2 | 90 | 9.52 |
Gabriella Olmo | 3 | 626 | 50.95 |