Non-linear relevance feedback: Improving the performance of content-based retrieval systems

IEEE International Conference on Multi-Media and Expo

Volumn , Issue I/MONDAY, 2000, Pages 331-334

  Doulamis, N D ^a   Doulamis, A D ^a   Kollias, S D ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; FEEDBACK; NEURAL NETWORKS;

NONLINEAR RELEVANCE FEEDBACK;

CONTENT BASED RETRIEVAL;

EID: 0034509469     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Special issue on content-based image retrieval systems
2. Special issue on visual information management
3. Interactive content-based retrieval in video databases using fuzzy classification and relevance feedback
4. Relevance feedback: A power tool for interactive content-based image retrieval
5. A stochastic framework for optimal key frame extraction from MPEG video databases
6. Image sequence analysis for emerging interactive multimedia services-The European cost 211 framework
7. Video content extraction: Review of current automatic segmentation algorithms
8. A fuzzy video content representation for video summarization and content-based retrieval
9. An adaptive least squares algorithm for the efficient training of artificial neural networks
10. On line retrainable neural networks: Improving the performance of neural networks in image analysis problems