Cai-Zhi Zhu
Xian-Sheng Hua
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.
Supplemental Material
- T. F. Cootes, C. Taylor, D. Cooper, and J. Graham. Active shape models - their training and their applications. Computer Vision and Image Understanding, 61(1):38--59, Jan. 1995. Google Scholar
Digital Library
- X.-S. Hua, X. Chen, and H.-J. Zhang. Robust video signature based on ordinal measure. In Proceedings of ICIP, Singapore. October 24-27. 2004.Google Scholar
- X.-S. Hua, S. Li, and H.-J. Zhang. Video booklet. In Proceedings of ICME, Amsterdam, Netherlands. July 6-8. 2005.Google Scholar
Index Terms
- Natural video browsing
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