Abstract
Automatic video indexing is an important feature in the design of a video databases. Recently, compressed domain techniques have become popular due their inherent advantages of efficiency and reduced complexity. Wavelet transform is emerging as a powerful tool for efficient compression of visual information. A variety of wavelet based video compression techniques have been reported in the literature. However, there has been little work done in the area of video indexing in the wavelet domain. In this paper, we present video segmentation techniques in a wavelet based compression framework. These techniques employ wavelet coefficients, their distribution, and the motion vectors estimated by the associated video coder. Simulation result shows that the proposed techniques provide a good indexing performance at a low complexity.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 262-270 |
| Number of pages | 9 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 3527 |
| DOIs | |
| State | Published - Dec 1 1998 |
| Event | Multimedia Storage and Archiving Systems III - Boston, MA, United States Duration: Nov 2 1998 → Nov 4 1998 |
Keywords
- Content-Based Retrieval
- Indexing
- Motion Vectors
- Video Segmentation
- Wavelets
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering