Relevance feedback for semantics based image retrieval

IEEE International Conference on Image Processing

Volumn 1, Issue , 2001, Pages 42-45

  Yoon, J ^a   Jayant, N ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATABASE SYSTEMS; PARAMETER ESTIMATION; PROBABILITY; SEMANTICS; STATISTICAL METHODS;

RELEVANCE FEEDBACK; SEMANTICS BASED IMAGE RETRIEVAL;

CONTENT BASED RETRIEVAL;

EID: 0035158672     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. A society of models for video and image libraries
2. The Bayesian image retrieval system, PicHunter: Theory, implementation and psychophysical experiments
3. Relevance feedback: A power tool for interactive content based image retrieval
4. MindReader: Querying databases through multiple examples
5. Maximum likelihood from incomplete data via the EM algorithm
6. Mixture model for image understanding and the EM algorithm
7. A novel relevance feedback technique in image retrieval