Feature management for large video databases

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Abstract
Large video databases, as well as many other applications involving video, such as multimedia, training, and `movie-on-demand' systems, require efficient steps to manipulate the enormous amount of data associated with full motion video. In this paper the incoming video is systematically and efficiently reduced via a frame selection procedure which takes advantage of the fact that the incoming video is encoded using one of several existing DCT- based standards. The procedure is performed in the frequency domain prior to video decoding. Further refinement in the frame selection step is achieved using a robust metric based upon the color histogram of the selected subset of decoded frames. The procedure is presented in detail and several examples are exhibited.

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