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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Byeungwoo Jeon Seokbyeung O. Seoung-Jun Oh |
| Copyright Year | 2000 |
| Description | Author affiliation: Sch. of Electr. & Comput. Eng., Sungkyunkwan Univ., South Korea (Byeungwoo Jeon) |
| Abstract | Matching pursuit has been shown to be useful especially in low bit-rate video coding. However, one practical concern in its application is the massive computation required for finding dictionary elements. This paper provides a new method that can drastically reduce the computational load without any degradation of image quality. We use a simple distance comparison based on the Schwarz inequality to preclude a substantial number of dictionary elements without actually evaluating inner products. Experimental results show the number of inner product calculations about 20-30% of the separability-based method by Neff and Zakhor (see IEEE Trans. Circuits and Systems for Video Technology, vol.7, p.158-71, Feb. 1997). |
| Starting Page | 980 |
| Ending Page | 983 |
| File Size | 396871 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780362977 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2000.901125 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-10 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Matching pursuit algorithms Dictionaries Image quality Video coding Degradation Discrete cosine transforms Image coding Encoding Video compression Motion estimation |
| Content Type | Text |
| Resource Type | Article |
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