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

  • Authors:
  • Neema Moraveji

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
  • Year:
  • 2004

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Abstract

This paper explains a method for leveraging the standard video time line 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 .