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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schonberg, D. Chuohao Yeo Draper, S.C. Ramchandran, K. |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. of EECS, California Univ., Berkeley, CA (Schonberg, D.; Chuohao Yeo) |
| Abstract | We consider video sequences that have been encrypted uncompressed. Since encryption masks the source, traditional data compression algorithms are rendered ineffective. However, it has been shown that through the use of distributed source-coding techniques, the compression of encrypted data is in fact possible. This means that it is possible to reduce data size without requiring that the data be compressed prior to encryption. Indeed, under some reasonable conditions, neither security nor compression efficiency need be sacrificed when compression is performed on the encrypted data (Johnson et al., 2004). In this paper we develop an algorithm for the practical lossless compression of encrypted gray scale video. Our method is based on considering the temporal correlations in the video. This move to temporal dependence builds on our previous work on memoryless sources, and one- and two-dimensional Markov sources. For comparison, a motion-compensated lossless video encoder can compress each unencrypted frame of the standard "Foreman" test video sequence by about 57%. Our algorithm can compress the same frames, after encryption, by about 33% |
| Starting Page | 173 |
| Ending Page | 182 |
| File Size | 316566 |
| Page Count | 10 |
| File Format | |
| ISBN | 0769527914 |
| ISSN | 10680314 |
| DOI | 10.1109/DCC.2007.61 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-03-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cryptography Video compression Image coding Data security Video sequences Pixel Data compression Protocols Laboratories Testing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications |
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