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Proceedings Paper

Summarization of video programs based on closed captions
Author(s): Lalitha Agnihotri; Kavitha Vallari Devara; Thomas McGee; Nevenka Dimitrova
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Paper Abstract

Today the consumers are facing an ever-increasing amount of television programs. The problem, however, is that the content of video programs is opaque. The existing video watching options for consumers are either to watch the whole video, fast forward to try and find the relevant portion, or to use electronic program guides to get additional information. In this paper we will present a summarization system for processing incoming video, extracting and analyzing closed caption text, determining the boundaries of program segments as well as commercial breaks and extracting a program summary from a complete broadcast to enable video transparency. The system consists of: transcript extractor, program type classifier, cue extractor, knowledge database, temporal database, inference engine, and summerizer. The main topics that will be discussed are video summary, video categorization and retrieval tools.

Paper Details

Date Published: 1 January 2001
PDF: 9 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410973
Show Author Affiliations
Lalitha Agnihotri, Philips Research (United States)
Kavitha Vallari Devara, Philips Research (United States)
Thomas McGee, Philips Research (United States)
Nevenka Dimitrova, Philips Research (United States)

Published in SPIE Proceedings Vol. 4315:
Storage and Retrieval for Media Databases 2001
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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