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Proceedings Paper

Distributional clustering for content-based browsing of unstructured video
Author(s): Giridharan Iyengar
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Paper 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.

Paper Details

Date Published: 27 December 2000
PDF: 16 pages
Proc. SPIE 4311, Internet Imaging II, (27 December 2000); doi: 10.1117/12.411882
Show Author Affiliations
Giridharan Iyengar, IBM Thomas J. Watson Research Ctr. (United States)

Published in SPIE Proceedings Vol. 4311:
Internet Imaging II
Giordano B. Beretta; Raimondo Schettini, Editor(s)

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