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Proceedings Paper

Lecture video segmentation and indexing
Author(s): Di Ma; Gady Agam
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Paper Abstract

Video structuring and indexing are two crucial processes for multi-media document understanding and information retrieval. This paper presents a novel approach in automatic structuring and indexing lecture videos for an educational video system. By structuring and indexing video content, we can support both topic indexing and semantic querying of multimedia documents. In this paper, our goal is to extract indices of topics and link them with their associated video and audio segments. Two main techniques used in our proposed approach are video image analysis and video text analysis. Using this approach, we obtain accuracy of over 90.0% on our test collection.

Paper Details

Date Published: 24 January 2012
PDF: 8 pages
Proc. SPIE 8297, Document Recognition and Retrieval XIX, 82970V (24 January 2012); doi: 10.1117/12.910594
Show Author Affiliations
Di Ma, Illinois Institute of Technology (United States)
Gady Agam, Illinois Institute of Technology (United States)


Published in SPIE Proceedings Vol. 8297:
Document Recognition and Retrieval XIX
Christian Viard-Gaudin; Richard Zanibbi, Editor(s)

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