Abstract
Visual database systems require efficient indexing to enable fast access to the images and video sequences in the database. Since image and video data are voluminous, compression is essential for storage and transmission. The International Standards Organization has proposed the JPEG and MPEG standards for image and video compression, respectively. In order to avoid the unnecessary decompression and recompression operations in the searching process, it is efficient to index the image/video in the compressed form. In this paper, we present image and video indexing techniques in the compressed domain.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 903-906 |
| Number of pages | 4 |
| Journal | Canadian Conference on Electrical and Computer Engineering |
| Volume | 2 |
| State | Published - Jan 1 1996 |
| Externally published | Yes |
| Event | Proceedings of the 1996 Canadian Conference on Electrical and Computer Engineering, CCECE'96. Part 1 (of 2) - Calgary, Can Duration: May 26 1996 → May 29 1996 |
ASJC Scopus subject areas
- Hardware and Architecture
- Electrical and Electronic Engineering