Natural video browsing

  • Authors:
  • Cai-Zhi Zhu;Tao Mei;Xian-Sheng Hua

  • Affiliations:
  • University of Science and Technology of China, Hefei, P. R. China;University of Science and Technology of China, Hefei, P. R. China;Microsoft Research Asia, Beijing, P. R. China

  • Venue:
  • Proceedings of the 13th annual ACM international conference on Multimedia
  • Year:
  • 2005

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Abstract

In this demonstration, we show a novel system, Video Booklet, which enables nature personal video browsing and searching. Firstly representative thumbnails of video segments are selected and reshaped by a set of pre-trained personalized shape templates, and then printed out on a real booklet. When we want to watch the segment indicated by a certain thumbnail in the booklet, we are able to use camera phones or similar devices to capture the corresponding thumbnail, and send it to a computer via wireless network. Thereafter, the target thumbnail is accurately located by a Self-Trained Active Shape Model algorithm, and then the distortion of the captured image is corrected. Finally the Video Booklet system will automatically find the most similar thumbnail to the corrected one and begin to play the corresponding segment in the video library for us. Thereby, Video Booklet builds a seamless bridge between digital videos and analog albums.