Title :
Improving video browsing with an eye-tracking evaluation of feature-based color bars
Author_Institution :
Human-Computer Interaction Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
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.
Keywords :
data visualisation; feature extraction; graphical user interfaces; image colour analysis; image retrieval; tracking; video databases; eye-tracking evaluation; image feature-based color bars; interactive visualization; video browsing; video timeline widget; Bars; Image segmentation; Information systems; Layout; Multimedia systems; Navigation; Permission; Software libraries; User interfaces; Visualization;
Conference_Titel :
Digital Libraries, 2004. Proceedings of the 2004 Joint ACM/IEEE Conference on
Print_ISBN :
1-58113-832-6
DOI :
10.1109/JCDL.2004.1336096
