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Benefiting from users' gaze: selection of image regions from eye tracking information for provided tags
2013
Multimedia tools and applications
Providing image annotations is a tedious task. This becomes even more cumbersome when objects shall be annotated in the images. Such region-based annotations can be used in various ways like similarity search or as training set in automatic object detection. We investigate the principle idea of finding objects in images by looking at gaze paths from users, viewing images with an interest in a specific object. We have analyzed 799 gaze paths from 30 subjects viewing imagetag-pairs with the task
doi:10.1007/s11042-013-1390-3
fatcat:ww2vyf25ujgvtfz2uxx7qukcc4