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Authors: Alina Elma Abduraman 1 ; Sid-Ahmed Berrani 1 and Bernard Merialdo 2

Affiliations: 1 Orange Labs and France Telecom R&D, France ; 2 Multimedia Communications Dept., France

Keyword(s): Program Structuring, Non-linear Browsing, Audio/Visual Recurrence Detection, Decision Tree Classification.

Abstract: This paper addresses the problem of unsupervised TV program structuring. Program structuring allows direct and non linear access to the desired parts of a program. Our work addresses the structuring of programs like news, entertainment, shows, magazines... It is based on the detection of audio and visual recurrences. It proposes an effective classification and selection system, based on decision trees, that allows the detection of “separators” among these recurrences. Separators are short audio/visual sequences that delimit the different parts of a program. The decision trees are built based on attributes issued from techniques like applause detection, scenes segmentation, face/speaker detection and clustering. The approach has been evaluated on a 112 hours dataset corresponding to 169 episodes of TV programs.

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Paper citation in several formats:
Abduraman, A.; Berrani, S. and Merialdo, B. (2013). Audio/Visual Recurrences and Decision Trees for Unsupervised TV Program Structuring. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 701-708. DOI: 10.5220/0004300307010708

@conference{visapp13,
author={Alina Elma Abduraman. and Sid{-}Ahmed Berrani. and Bernard Merialdo.},
title={Audio/Visual Recurrences and Decision Trees for Unsupervised TV Program Structuring},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={701-708},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004300307010708},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Audio/Visual Recurrences and Decision Trees for Unsupervised TV Program Structuring
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Abduraman, A.
AU - Berrani, S.
AU - Merialdo, B.
PY - 2013
SP - 701
EP - 708
DO - 10.5220/0004300307010708
PB - SciTePress

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