Using Multi-Modal Semantic Association Rules to fuse keywords and visual features automatically for Web image retrieval

Information Fusion

Volumn 12, Issue 3, 2011, Pages 223-230

  He, Ruhan ^a   Xiong, Naixue ^b   Yang, Laurence T ^c   Park, Jong Hyuk ^d  

^a WUHAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b GEORGIA STATE UNIVERSITY   (United States)

^c ST FRANCIS XAVIER UNIVERSITY   (Canada)

^d Seoul National University of Science and Technology   (South Korea)

Author keywords

Association rule mining; Inverted file; Multi Modal Semantic Association Rule (MMSAR); Relevance Feedback (RF); Web image retrieval

Indexed keywords

ASSOCIATION RULE MINING; INVERTED FILES; MULTI-MODAL SEMANTIC ASSOCIATION RULE (MMSAR); RELEVANCE FEEDBACK (RF); WEB IMAGE RETRIEVAL;

ALGORITHMS; ASSOCIATION RULES; DATA MINING; FEEDBACK; IMAGE RETRIEVAL; SEMANTIC WEB; SEMANTICS;

SEARCH ENGINES;

EID: 79954567261     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2010.02.001     Document Type: Article

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