How to complete performance graphs in content-based image retrieval: Add generality and normalize scope

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 27, Issue 2, 2005, Pages 245-251

  Huijsmans, Dionysius P ^a   Sebe, Nicu ^b  

^a LEIDEN UNIVERSITY   (Netherlands)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Content based image retrieval; Information retrieval; Multimedia information systems; Performance evaluation

Indexed keywords

DATABASE SYSTEMS; GRAPH THEORY; INFORMATION RETRIEVAL; MEASUREMENT ERRORS; PERFORMANCE;

CONTENT BASED IMAGE RETRIEVAL; MULTIMEDIA INFORMATION SYSTEMS; PERFORMANCE EVALUATION;

IMAGE RETRIEVAL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FACTUAL DATABASE; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATABASES, FACTUAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 14544275126     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2005.30     Document Type: Article

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