Name
Abstract | ||
|---|---|---|
Multiple description coding (MDC) is a good way to combat packet losses in error-prone networks subject to packet erasures. However, redundancy tuning is often difficult, and this makes the generation of descriptions with good redundancy-rate- distortion performance a hard job. Moreover, the complexity of generating more than two descriptions represents a strong limita- tion to MDC. In this letter, we propose a method that exploits the data rate-distortion characteristics to generate multiple descrip- tions for JPEG 2000 with tunable redundancy levels. The identifi- cation of the best number of descriptions as a function of the net- work conditions is also addressed. Index Terms—Image coding, image communication, multiple description coding (MDC), source channel coding. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/LSP.2006.883986 | Signal Processing Letters, IEEE |
Keywords | Field | DocType |
data compression,image coding,rate distortion theory,redundancy,JPEG 2000,R-D-based multiple description coding,data rate-distortion characteristics,image communication,redundancy tuning,Image coding,image communication,multiple description coding (MDC),source channel coding | Computer science,Theoretical computer science,Redundancy (engineering),Artificial intelligence,Multiple description,JPEG 2000,Rate–distortion theory,Multiple description coding,Pattern recognition,Network packet,Algorithm,Exploit,Data compression | Journal |
Volume | Issue | ISSN |
14 | 3 | 1070-9908 |
Citations | PageRank | References |
18 | 0.76 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enrico Baccaglini | 1 | 90 | 9.52 |
| Tammam Tillo | 2 | 667 | 49.97 |
| Gabriella Olmo | 3 | 626 | 50.95 |