Zanetti, Sara and Zelnik-Manor, Lihi and Perona, Pietro (2008) A walk through the web’s video clips. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE , Anchorage, AK , pp. 1-8. ISBN 9781424423392 http://resolver.caltech.edu/CaltechAUTHORS:20100512-132602796
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Approximately 10^5 video clips are posted every day on the Web. The popularity of Web-based video databases poses a number of challenges to machine vision scientists: how do we organize, index and search such large wealth of data? Content-based video search and classification have been proposed in the literature and applied successfully to analyzing movies, TV broadcasts and lab-made videos. We explore the performance of some of these algorithms on a large data-set of approximately 3000 videos. We collected our data-set directly from the Web minimizing bias for content or quality, way so as to have a faithful representation of the statistics of this medium. We find that the algorithms that we have come to trust do not work well on video clips, because their quality is lower and their subject is more varied. We will make the data publicly available to encourage further research.
|Item Type:||Book Section|
|Additional Information:||© 2008 IEEE.|
|Subject Keywords:||World Wide Web , content-based video search , machine vision , statistics , video classification , video clips , video database|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Ruth Sustaita|
|Deposited On:||03 Jun 2010 21:17|
|Last Modified:||26 Dec 2012 12:01|
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