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14 April 1993 Feature management for large video databases
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Proceedings Volume 1908, Storage and Retrieval for Image and Video Databases; (1993) https://doi.org/10.1117/12.143638
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Farshid Arman, Arding Hsu, and Ming-Yee Chiu "Feature management for large video databases", Proc. SPIE 1908, Storage and Retrieval for Image and Video Databases, (14 April 1993); https://doi.org/10.1117/12.143638
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