Name
Abstract | ||
|---|---|---|
Distributed source coding is a new paradigm for source compression, based on the information-theoretic results built upon by Slepian and Wolf, and Wyner and Ziv from the 1970s. Recently some practical applications of distributed source coding to video compression have been studied due to its advantage of lower encoding complexity over conventional video coding standards. In this paper, we proposed a new distributed source coding framework based on signal denoising techniques. To apply the proposed framework in video coding systems, we give a novel distributed video coding scheme. Our experimental results show that the proposed scheme can achieve better coding efficiency while keeping the simple encoding property. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-69423-6_24 | MMM |
Keywords | Field | DocType |
video compression,conventional video,coding efficiency,lower encoding complexity,proposed framework,video coding scheme,proposed scheme,video coding system,denoising technique,source compression,source coding,distributed source coding | Tunstall coding,Computer science,Context-adaptive variable-length coding,Multiview Video Coding,Theoretical computer science,Artificial intelligence,Shannon–Fano coding,Computer engineering,Variable-length code,Context-adaptive binary arithmetic coding,Coding tree unit,Pattern recognition,Distributed source coding | Conference |
Volume | ISSN | ISBN |
4351 | 0302-9743 | 3-540-69421-8 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guiguang Ding | 1 | 1731 | 80.28 |
| Feng Yang | 2 | 86 | 11.70 |