Abstract
Summary form only given. The proliferation of video content makes video similarity detection an indispensable tool in video management, searching, and navigation. We propose a new algorithm that targets detecting given video clips from TV programs. The algorithm has the following two advantages: it is simple and can be implemented in realtime; it is robust against TV channel noise and the video re-editing frequently seen on TV programs, for example, slow motion. Our algorithm improved video fingerprints, a region based video feature, with an adaptive computation. A novel dynamic time warping algorithm is used to cope with noise and video re-editing. Experimental results demonstrate the effectiveness of the algorithm.
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