Content-based image retrieval using a combination of visual features and eye tracking data

Eye Tracking Research and Applications Symposium (ETRA)

Volumn , Issue , 2010, Pages 41-44

  Liang, Zhen ^a   Fu, Hong ^a   Zhang, Yun ^a   Chi, Zheru ^a   Feng, Dagan ^a,b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Content based image retrieval (CBIR); Eye tracking; Fixation; Similarity measure; Visual perception

Indexed keywords

COLOR IMAGES; CONTENT-BASED IMAGE RETRIEVAL; CURRENT IMAGE; EYE TRACKERS; EYE-TRACKING; IMAGE RETRIEVAL SYSTEMS; NON-INTRUSIVE; RECALL AND PRECISION; REGIONS OF INTEREST; RETRIEVAL STRATEGIES; SAMPLING RATES; SEGMENTATION RESULTS; SIMILARITY MEASURE; VISUAL FEATURE; VISUAL PERCEPTION;

CONTENT BASED RETRIEVAL; IMAGE MATCHING; IMAGE SEGMENTATION; INFORMATION RETRIEVAL; VISION;

TRACKING (POSITION);

EID: 77952407127     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1743666.1743675     Document Type: Conference Paper

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