Abstract
We analyze the nature of the relevance feedback problem in a continuous representation space in the context of content-based image retrieval. Emphasis is put on exploring the uniqueness of the problem and comparing the assumptions, implementations, and merits of various solutions in the literature. An attempt is made to compile a list of critical issues to consider when designing a relevance feedback algorithm. With a comprehensive review as the main portion, this paper also offers some novel solutions and perspectives throughout the discussion.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 536-544 |
| Number of pages | 9 |
| Journal | Multimedia Systems |
| Volume | 8 |
| Issue number | 6 |
| DOIs | |
| State | Published - Apr 2003 |
Keywords
- Classification
- Computer vision
- Content-based image retrieval
- Pattern recognition
- Relevance feedback
- Small sample learning
ASJC Scopus subject areas
- Software
- Information Systems
- Media Technology
- Hardware and Architecture
- Computer Networks and Communications