| Natural video browsing |
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International Multimedia Conference
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Proceedings of the 13th annual ACM international conference on Multimedia
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Hilton, Singapore
DEMONSTRATION SESSION: Video demonstrations and visions
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Pages: 265 - 266
Year of Publication: 2005
ISBN:1-59593-044-2
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Authors
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Cai-Zhi Zhu
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University of Science and Technology of China, Hefei, P. R. China
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Tao Mei
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University of Science and Technology of China, Hefei, P. R. China
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Xian-Sheng Hua
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Microsoft Research Asia, Beijing, P. R. China
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Downloads (6 Weeks): 6, Downloads (12 Months): 28, Citation Count: 1
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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.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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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.
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X.-S. Hua, S. Li, and H.-J. Zhang. Video booklet. In Proceedings of ICME, Amsterdam, Netherlands. July 6-8. 2005.
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CITED BY
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David Kirk , Abigail Sellen , Richard Harper , Ken Wood, Understanding videowork, Proceedings of the SIGCHI conference on Human factors in computing systems, April 28-May 03, 2007, San Jose, California, USA
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