Exploring the nature and variants of relevance feedback
- 14 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
We analyze the nature of the relevance feedback problem in a continuous representation space in the context of multimedia information 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 state-of-the-art review as the main portion, the paper also offers some novel solutions and perspectives throughout the discussion.Keywords
This publication has 32 references indexed in Scilit:
- Query reformulation for content based multimedia retrieval in MARSPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Content-based color image retrieval with relevance feedbackPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A framework for learning query concepts in image classificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Modeling user subjectivity in image librariesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Boosting image retrievalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Optimizing learning in image retrievalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Support vector machine active learning for image retrievalPublished by Association for Computing Machinery (ACM) ,2001
- Integrated browsing and querying for image databasesIEEE MultiMedia, 2000
- Probabilistic Feature Relevance Learning for Content-Based Image RetrievalComputer Vision and Image Understanding, 1999
- Relevance feedback: a power tool for interactive content-based image retrievalIEEE Transactions on Circuits and Systems for Video Technology, 1998