Distributional clustering for content-based browsing of unstructured video

Giridharan Iyengar

doi:10.1117/12.411882

27 December 2000 Distributional clustering for content-based browsing of unstructured video

Giridharan Iyengar

Proceedings Volume 4311, Internet Imaging II; (2000) https://doi.org/10.1117/12.411882
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

The focus of this paper is to facilitate access into an important class of multimedia content: unscripted and casually shot home videos. Unlike scripted video (such as movies and commercials), video that has been shot for the simple purpose of recording an event of place has no structure to facilitate its access. Our approach to tackling the unstructured video problem is to use clustering techniques to create multiple groupings of the video. We describe two clustering algorithm in this paper, which assume fairly general probability density descriptions of video. In addition, we describe an application built upon these clustering algorithms that enables browsing and rescripting unstructured content.

Citation Download Citation

Giridharan Iyengar "Distributional clustering for content-based browsing of unstructured video", Proc. SPIE 4311, Internet Imaging II, (27 December 2000); https://doi.org/10.1117/12.411882

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KEYWORDS

Video

Databases

Distortion

Image retrieval

Statistical modeling

Signal to noise ratio

Chlorine

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