Abstract
In this paper we analyze a method for classifying images which have been compressed using a biorthogonal wavelet transformation. The goal is to formulate a pattern recognition algorithm over a wavelet-compressed image set without requiring that the image set be decompressed. This paper extends previous work [8] which studies how to recognize objects in images compressed using orthogonal transforms, as in the JPEG/MPEG compression standards.
| Original language | English |
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| Title of host publication | Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings |
| Editors | Roland Chin, Ting-Chuen Pong |
| Pages | 362-369 |
| Number of pages | 8 |
| DOIs | |
| State | Published - 1997 |
| Event | 3rd Asian Conference on Computer Vision, ACCV 1998 - Hong Kong, China Duration: Jan 8 1998 → Jan 10 1998 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 1351 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 3rd Asian Conference on Computer Vision, ACCV 1998 |
|---|---|
| Country/Territory | China |
| City | Hong Kong |
| Period | 1/8/98 → 1/10/98 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 1997.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science