| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 487500 | Procedia Computer Science | 2015 | 7 Pages |
Abstract
In this research paper, we propose novel features based on information theory for image retrieval. We propose the novel concept of “probabilistic filtering”. We propose a hybrid approach for image retrieval that combines annotation approach with content based image retrieval approach. Also rough set theory is proposed as a tool for audio/video object retrieval from multi-media databases.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
