On learning perceptual distance function for image retrieval

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

Volumn 4, Issue , 2002, Pages

  Chang, Edward ^a   Li, Beitao ^a  

^a University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; GRAPHICAL USER INTERFACES; LEARNING ALGORITHMS; LEARNING SYSTEMS; MULTIMEDIA SYSTEMS; ONLINE SYSTEMS;

DYNAMIC PARTIAL DISTANCE FUNCTION; L-NORM DISTANCE FUNCTION; MINKOWSKI METRIC;

CONTENT BASED RETRIEVAL;

EID: 0036298223     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. A tutorial on support vector machines for pattern recognition
2. PBIR - Perception-based image retrieval
3. PBIR - a system that learns subjective image query concepts
4. Mega - the maximizing expected generalization algorithm for learning complex query concepts (extended version)
5. Learning boolean formulae
6. Discovery of a perceptual distance function for measuring image similarity
7. Query refinement for multimedia similarity retrieval in mars
8. Support vector machine active learning for image retrieval
9. Support vector machine active learning with applications to text classification
10. Falcon: Feedback adaptive loop for content-based retrieval