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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaolin Wu Zixiang Xiong |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Comput. Sci., Western Ontario Univ., London, Ont., Canada (Xiaolin Wu) |
| Abstract | Summary form only given. To achieve error resilience, digital communication systems typically partition a data file into blocks of samples in the time domain which represent small cohesive segments of the input source, be it image, video or audio. We consider the problem of packing a set of embedded bitstreams B/sub k/ into M packets of payload L. Optimal packetization is to select ML bits to fill in M packets while satisfying certain alignment constraints that are imposed by error resilience designs, and at the same time minimizing the distortion. Just as source and channel coding have conflicting objectives of removing and adding redundancy, error resilience via packetization will somewhat reduce the rate distortion performance of the compression code when the transmission is error free. Our goal is to minimize such losses of coding efficiency. |
| File Size | 51704 |
| File Format | |
| ISBN | 0769505929 |
| ISSN | 10680314 |
| DOI | 10.1109/DCC.2000.838227 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-03-29 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Resilience Rate-distortion Decoding Dynamic programming Digital communication Image segmentation Video compression Image coding Payloads Channel coding |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications |
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