Predicting user annoyance using visual attributes

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2014, Pages 3630-3637

  Christie, Gordon ^a   Parkash, Amar ^b   Krothapalli, Ujwal ^a   Parikh, Devi ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b Goibibo   (United States)

Author keywords

annoyance of mistakes; attributes; cost of mistakes; human centric applications

Indexed keywords

FORECASTING;

ANNOYANCE OF MISTAKES; ATTRIBUTES; COMPUTER VISION ALGORITHMS; HUMAN PERCEPTION; HUMAN-CENTRIC; LEARNING FROM EXAMPLES; RETRIEVAL APPLICATIONS; VISUAL ATTRIBUTES;

COMPUTER VISION;

EID: 84911378660     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.464     Document Type: Conference Paper

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