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Improving video browsing with an eye-tracking evaluation of feature-based color bars

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1 Author(s)
Moraveji, N. ; Human-Computer Interaction Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA

This paper explains a method for leveraging the standard video timeline widget as an interactive visualization of image features. An eye-tracking experiment is described with results that indicate that such a widget increases task efficiency without increasing complexity while being easily learned by experiment participants.

Published in:

Digital Libraries, 2004. Proceedings of the 2004 Joint ACM/IEEE Conference on

Date of Conference:

7-11 June 2004