A statistical correlation model for image retrieval

Proceedings of the ACM International Multimedia Conference and Exhibition

Volumn , Issue III, 2001, Pages 42-45

  Li, M ^a   Chen, Z ^a   Wenyin, L ^a   Zhang, H J ^a  

^a MICROSOFT RESEARCH ASIA   (China)

Author keywords

Correlation; Image retrieval; Relevance feedback; Statistics

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATABASE SYSTEMS; FREQUENCIES; PROBABILITY DISTRIBUTIONS; SEMANTICS; STATISTICS;

RELEVANCE FEEDBACK; STATISTICAL BIGRAM CORRELATION MODEL;

IMAGE RETRIEVAL;

EID: 0034787528     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/500933.500947     Document Type: Conference Paper

References (9)

1. Graph-theoretic clustering for image grouping and retrieval
2. Web mining for web image retrieval
3. Statistical language modeling using the CMU-Cambridge toolkit
4. The Bayesian image retrieval system, PicHunter: Theory, implementation and psychophysical experiments
5. Combining supervised learning with color correlograms for content-based image retrieval
6. Information embedding based on user's relevance feedback for image retrieval
7. A unified framework for semantics and feature based relevance feedback in image retrieval systems
8. A relevance feedback architecture for content-based multimedia information retrieval systems
9. iFind - A system for semantics and feature based image retrieval over internet