Probabilistic relevance feedback approach for content-based image retrieval based on gaussian mixture models

IET Image Processing

Volumn 3, Issue 1, 2009, Pages 10-25

  Marakakis, A ^a   Galatsanos, N ^b   Likas, A ^b   Stafylopatis, A ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b UNIVERSITY OF IOANNINA   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; FEATURE EXTRACTION; FEEDBACK; GRANULAR MATERIALS; IMAGE RETRIEVAL; INFORMATION RETRIEVAL; PROBABILITY DENSITY FUNCTION; TRELLIS CODES;

CLOSED FORMS; CONTENT-BASED IMAGE RETRIEVALS; DISTANCE MEASURES; GAUSSIAN MIXTURE MODELS; GAUSSIAN MIXTURES; GM MODELS; IMAGE FEATURES; IMAGE MODELS; MODELS OF THE USERS; NEGATIVE FEEDBACKS; NUMERICAL EXPERIMENTS; PROBABILITY DENSITIES; RELEVANCE FEEDBACKS;

CONTROL THEORY;

EID: 59349111108     PISSN: 17519659     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-ipr:20080012     Document Type: Article

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