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<title>How people look at pictures before, during, and after scene capture: Buswell revisited</title>
Author(s) -
Jason S. Babcock,
Marianne A. Lipps,
Jeff B. Pelz
Publication year - 2002
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.469552
Subject(s) - task (project management) , computer vision , computer science , artificial intelligence , cropping , object (grammar) , computer graphics (images) , wearable computer , geography , engineering , systems engineering , archaeology , embedded system , agriculture
A wearable eye tracker was used to record photographers' eye movements while they took digital photographs of person, sculpture, and interior scenes. Eye movement sequences were also recorded as the participants selected and cropped their images on a computer. Preliminary analysis revealed that during image capture people spend approximately the same amount of time looking at the camera regardless of the scene being photographed. The time spent looking at either the primary object or the surround differed significantly across the three scenes. Results from the editing phase support previous reports that observers fixate on semantic-rich regions in the image, which, in this task, were important in the final cropping decision. However, the spread of fixations, edit time, and number of crop windows did not differ significantly across the three image classes. This suggests that, unlike image capture, the cropping task was highly regular and less influenced by image content.

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