Shih-Fu Chang, William Chen, Horace Jianhao Meng, Hari Sundaram, Di Zhong. VideoQ: An Automatic Content-Based Video Search System Using Visual Cues. In ACM Multimedia, Seattle, WA, November 1997.
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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 digital media. Content based visual queries have been primarily focussed on still image retrieval. In this paper, we propose a novel, real-time, interactive system on the Web, based on the visual paradigm, with spatio-temporal attributes playing a key role in video retrieval. We have developed algorithms for automated video object segmentation and tracking and use real-time video editing techniques while responding to user queries. The resulting system performs well, with the user being able to retrieve complex video clips such as those of skiers, baseball players, with ease
Shih-Fu Chang 
William Chen
Hari Sundaram
Di Zhong
@InProceedings{dvmmPub126,
Author = {Chang, Shih-Fu and Chen, William and Jianhao Meng, Horace and Sundaram, Hari and Zhong, Di},
Title = {VideoQ: An Automatic Content-Based Video Search System Using Visual Cues},
BookTitle = {ACM Multimedia},
Address = {Seattle, WA},
Month = {November},
Year = {1997}
}
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