Feature management for large video databases

Farshid Arman; Arding Hsu; Ming-Yee Chiu

doi:10.1117/12.143638

14 April 1993 Feature management for large video databases

Farshid Arman, Arding Hsu, Ming-Yee Chiu

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.

Citation Download Citation

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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