Abstract
A comprehensive video retrieval system should be able to accommodate and utilize various (complementary) description data in facilitating effective retrieval. In this paper, we advocate a hybrid retrieval approach by integrating a query-based (database) mechanism with content-based retrieval (CBR) functions. We describe the VideoMAP + architecture, discuss issues related to developing such a comprehensive video database management system, and its specific language mechanism (CAROL/ST with CBR) which provides an improved expressive power than what pure query-based or CBR methods currently offer. We also describe an experimental prototype being developed based on a commercial object-oriented toolkit using VC++ and Java.
| Original language | English |
|---|---|
| Pages (from-to) | 146-149 |
| Number of pages | 4 |
| Journal | IEEE Transactions on Multimedia |
| Volume | 4 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Jun 2002 |
| Externally published | Yes |
Keywords
- Content-based image retrieval
- Hybrid retrieval
- Semantic retrieval
- Video database
ASJC Scopus subject areas
- Signal Processing
- Media Technology
- Computer Science Applications
- Electrical and Electronic Engineering