Visualization of video motion in context of video browsing

  • Authors:

  • Klaus Schoeffmann;Mathias Lux;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;Institute of Information Technology, Klagenfurt University, Klagenfurt, Austria

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

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a new approach for video browsing using visualization of motion direction and motion intensity statistics by color and brightness variations. Statistics are collected from motion vectors of H.264/AVC encoded video streams, so full video decoding is not required. By interpreting visualized motion patterns of video segments, users are able to quickly identify scenes similar to a prototype scene or identify potential scenes of interest. We give some examples of motion patterns with different semantic value, including camera zooms, hill jumps of ski-jumpers, and the repeated appearance of a news speaker. In a user study we show that certain scenes of interest can be found significantly faster using our video browsing tool than using a video player with VCR-like controls.