I-Quest: An intelligent query structuring based on user browsing feedback for semantic retrieval of video data

Multimedia Tools and Applications

Volumn 43, Issue 2, 2009, Pages 145-178

  Yadav, Tarun ^a,b   Aygün, Ramazan Savaş ^b  

^a Broadband Enterprises   (United States)

^b University of Alabama in Huntsville   (United States)

Author keywords

Multimedia information retrieval; Relevance feedback; Semantic retrieval; User browsing

Indexed keywords

ATTRIBUTE VALUES; DISTANCE FUNCTIONS; IMPRECISE QUERIES; LOW-LEVEL FEATURES; MULTIMEDIA INFORMATION RETRIEVAL; QUERY RESULTS; RELEVANCE FEEDBACK; RETRIEVAL PROCESS; SEMANTIC RETRIEVAL; TEMPLATE GENERATIONS; USER BROWSING; VIDEO CLIPS; VIDEO DATABASE; VIDEO DATUM;

INFORMATION RETRIEVAL; INFORMATION SERVICES; INFORMATION THEORY; MOTION ESTIMATION; NEURAL NETWORKS; SEMANTICS; VIDEO RECORDING;

FEEDBACK;

EID: 64549091882     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-009-0262-3     Document Type: Article

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