Relevance graph-based image retrieval

IEEE International Conference on Multi-Media and Expo

Volumn , Issue II/TUESDAY, 2000, Pages 713-716

  Sull, S ^a   Oh, J ^a   Oh, S ^a   Song, S M H ^a   Lee, S W ^a  

^a Korea University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; MATHEMATICAL MODELS; OBJECT RECOGNITION; SEARCH ENGINES; SEMANTICS; WEB BROWSERS;

GENERIC OBJECT-RECOGNATION;

CONTENT BASED RETRIEVAL;

EID: 0034517499     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Query by image and video content: The QBIC system
2. Virage image search engine: An open framework for image management
3. Relevance feedback: A power tool in interactive content-based image retrieval
4. The "El nino" image database system
5. Body plans
6. Image indexing using color correlograms