Improving image retrieval performance with negative relevance feedback

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 3, Issue , 2001, Pages 1637-1640

  Ashwin, T V ^a   Jain, Navendu ^a,b   Ghosal, S ^a  

^a IBM RESEARCH INDIA   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE SEGMENTATION; MATRIX ALGEBRA; PARAMETER ESTIMATION;

NEGATIVE RELEVANCE FEEDBACK;

CONTENT BASED RETRIEVAL;

EID: 0034848561     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2001.941250     Document Type: Article

References (8)

1. Relevance feedback and category search in image databases
2. Content-based image retrieval with relevance feedback in MARS
3. Mindreader: Query databases through multiple examples
4. Optimizing learning in image retrieval
5. Incorporate support vector machines to content-based image retrieval with relevance feedback
6. iPURE: Perceptual and user-friendly REtrieval of images
7. Efficient query modification for image retrieval
8. Robust clustering with applications in computer vision