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A fully automated content-based video search engine supporting spatiotemporal queries

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5 Author(s)
Shih-Fu Chang ; Dept. of Electr. Eng., Columbia Univ., New York, NY, USA ; Chen, W. ; Meng, H.J. ; Sundaram, H.
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The rapidity with which digital information, particularly video, is being generated has necessitated the development of tools for efficient search of these media. Content-based visual queries have been primarily focused on still image retrieval. In this paper, we propose a novel, interactive system on the Web, based on the visual paradigm, with spatiotemporal attributes playing a key role in video retrieval. We have developed innovative algorithms for automated video object segmentation and tracking, and use real-time video editing techniques while responding to user queries. The resulting system, called VideoQ , is the first on-line video search engine supporting automatic object-based indexing and spatiotemporal queries. The system performs well, with the user being able to retrieve complex video clips such as those of skiers and baseball players with ease

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Circuits and Systems for Video Technology, IEEE Transactions on  (Volume:8 ,  Issue: 5 )