loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

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

ISBN: 978-989-8565-47-1

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.175.191.168

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, 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 - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={701-708},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004300307010708},
isbn={978-989-8565-47-1},
}

TY - CONF

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.