Visualization of video motion in context of video browsing

@article{Schffmann2009VisualizationOV,
  title={Visualization of video motion in context of video browsing},
  author={Klaus Sch{\"o}ffmann and Mathias Lux and Mario Taschwer and L{\'a}szl{\'o} B{\"o}sz{\"o}rm{\'e}nyi},
  journal={2009 IEEE International Conference on Multimedia and Expo},
  year={2009},
  pages={658-661}
}

• Klaus Schöffmann, Mathias Lux, +1 author László Böszörményi
• Published in
  IEEE International Conference…
  2009
• DOI:10.1109/ICME.2009.5202582

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… CONTINUE READING

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