Sparse color interest points for image retrieval and object categorization

IEEE Transactions on Image Processing

Volumn 21, Issue 5, 2012, Pages 2681-2692

  Stöttinger, Julian ^a   Hanbury, Allan ^b   Sebe, Nicu ^a   Gevers, Theo ^c,d  

^a UNIVERSITY OF TRENTO   (Italy)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^c UNIVERSITY OF AMSTERDAM   (Netherlands)

^d UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

ARS IIU; color invariance; ELI COL; image retrieval; local features; object categorization; SMR REP

Indexed keywords

ARS-IIU; ELI-COL; LOCAL FEATURE; OBJECT CATEGORIZATION; SMR-REP;

COMPUTER VISION; DETECTORS; IMAGE MATCHING; IMAGE RETRIEVAL; OBJECT RECOGNITION; PRINCIPAL COMPONENT ANALYSIS;

COLOR;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COLOR; COLORIMETRY; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COLOR; COLORIMETRY; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84860112203     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2012.2186143     Document Type: Article

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