Video browsing using motion visualization

  • Authors:

  • Klaus Schoeffmann;Mario Taschwer;Laszlo Boeszoermenyi

  • Affiliations:

  • Institute of Information Technology, Klagenfurt University, Klagenfurt, Austria;Institute of Information Technology, Klagenfurt University, Klagenfurt, Austria;Institute of Information Technology, Klagenfurt University, Klagenfurt, Austria

  • Venue:
  • ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
  • Year:
  • 2009

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Abstract

We present a video browsing tool that uses a novel and powerful visualization technique of video motion. The tool provides an interactive navigation index that allows users to quickly and easily recognize content semantics like scenes with fast/slow motion (in general or according to a specific direction), scenes showing still/moving objects in front of a still/moving background, camera pans, or camera zooms. Moreover, the visualization facilitates identification of similar segments in a video. A first user study has shown encouraging results.