Feature-adaptive relevance feedback (FA-RF) for content-based image retrieval
- Author(s):
- Grigorova, A.I. ( Univ. degli Studi di Trento (Italy) )
- De Natale, F.G.B. ( Univ. degli Studi di Trento (Italy) )
- Publication title:
- Storage and Retrieval Methods and Applications for Multimedia 2004
- Title of ser.:
- Proceedings of SPIE - the International Society for Optical Engineering
- Ser. no.:
- 5307
- Pub. Year:
- 2004
- Page(from):
- 20
- Page(to):
- 28
- Pages:
- 9
- Pub. info.:
- Bellingham, Wash.: SPIE - The International Society of Optical Engineering
- ISSN:
- 0277786X
- ISBN:
- 9780819452108 [0819452106]
- Language:
- English
- Call no.:
- P63600/5307
- Type:
- Conference Proceedings
Similar Items:
1
Conference Proceedings
Attribute visualization and relevance feedback in the content-based image retrieval of medical images
SPIE - The International Society of Optical Engineering |
7
Conference Proceedings
Hierarchical feature clustering for content-based retrieval in medical image databases
SPIE-The International Society for Optical Engineering |
2
Conference Proceedings
Logistic regression model for relevance feedback in content-based image retrieval
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
3
Conference Proceedings
Relevance feedback using a Bayesian classifier in content-based image retrieval
SPIE-The International Society for Optical Engineering |
Society of Photo-optical Instrumentation Engineers |
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
5
Conference Proceedings
Self-adaptive relevance feedback based on multilevel image content analysis
SPIE-The International Society for Optical Engineering |
11
Conference Proceedings
Computer-assisted diagnosis of mammographic masses using an information-theoretic image retrieval scheme with BIRADs-based relevance feedback
SPIE - The International Society of Optical Engineering |
6
Conference Proceedings
Retrieval of multi- and hyperspectral images using an interactive relevance feedback form of content-based image retrieval
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |