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Automatic Story Segmentation for TV News Video Using Multiple Modalities
Joint Authors
Source
International Journal of Digital Multimedia Broadcasting
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Engineering Sciences and Information Technology
Telecommunications Engineering
Electronic engineering
Information Technology and Computer Science
Abstract EN
While video content is often stored in rather large files or broadcasted in continuous streams, users are often interested in retrieving only a particular passage on a topic of interest to them.
It is, therefore, necessary to split video documents or streams into shorter segments corresponding to appropriate retrieval units.
We propose here a method for the automatic segmentation of TV news videos into stories.
A-multiple-descriptor based segmentation approach is proposed.
The selected multimodal features are complementary and give good insights about story boundaries.
Once extracted, these features are expanded with a local temporal context and combined by an early fusion process.
The story boundaries are then predicted using machine learning techniques.
We investigate the system by experiments conducted using TRECVID 2003 data and protocol of the story boundary detection task, and we show that the proposed approach outperforms the state-of-the-art methods while requiring a very small amount of manual annotation.
American Psychological Association (APA)
Dumont, Émilie& Quénot, Georges. 2012. Automatic Story Segmentation for TV News Video Using Multiple Modalities. International Journal of Digital Multimedia Broadcasting،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-494309
Modern Language Association (MLA)
Dumont, Émilie& Quénot, Georges. Automatic Story Segmentation for TV News Video Using Multiple Modalities. International Journal of Digital Multimedia Broadcasting No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-494309
American Medical Association (AMA)
Dumont, Émilie& Quénot, Georges. Automatic Story Segmentation for TV News Video Using Multiple Modalities. International Journal of Digital Multimedia Broadcasting. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-494309
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-494309