Low-level spatiochromatic grouping for saliency estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 35, Issue 11, 2013, Pages 2810-2816

  Murray, Naila ^a   Vanrell, Maria ^b   Otazu, Xavier ^b   Parraga, C Alejandro ^b  

^a XEROX RESEARCH CENTRE EUROPE   (France)

^b Cerdanyola Del Vallès ^*  (Spain)

Author keywords

color; Computational models of vision; hierarchical image representation

Indexed keywords

CHROMATIC INDUCTION; COMPUTATIONAL MODEL; HIERARCHICAL IMAGE REPRESENTATIONS; INDUCTION MECHANISM; LOW-LEVEL FEATURES; NON-PARAMETRIC; SALIENCY MODELING; STATE-OF-THE-ART METHODS;

ARTIFICIAL INTELLIGENCE; COLOR;

COMPUTER VISION;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOMIMETICS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; PHYSIOLOGY; PROCEDURES; THEORETICAL MODEL; VISION; ARTICLE; METHODOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMIMETICS; COMPUTER SIMULATION; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; MODELS, THEORETICAL; PATTERN RECOGNITION, AUTOMATED; VISUAL PERCEPTION;

EID: 84884582292     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2013.108     Document Type: Article

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