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A Visualization Tool for Violent Scenes Detection

Authors:

Dominique Maniry,

Esra Acar,

Frank Hopfgartner,

Sahin AlbayrakAuthors Info & Claims

ICMR '14: Proceedings of International Conference on Multimedia Retrieval

Pages 522 - 523

https://doi.org/10.1145/2578726.2582616

Published: 01 April 2014 Publication History

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Abstract

We present a browser-based visualization tool that allows users to explore movies and online videos based on the violence level of these videos. The system offers visualizations of annotations and results of the MediaEval 2012 Affect Task and can interactively download and analyze content from video hosting sites like YouTube.

References

[1]

E. Acar, F. Hopfgartner, and S. Albayrak. Detecting violent content in hollywood movies by mid-level audio representations. In CBMI 2013. IEEE, 2013.

Crossref

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[2]

C. Demarty, C. Penet, G. Gravier, and M. Soleymani. The mediaeval 2012 affect task: Violent scenes detection in hollywood movies. In MediaEval 2012 Workshop, 2012.

Google Scholar

[3]

T.-F. Wu, C.-J. Lin, and R. C. Weng. Probability estimates for multi-class classification by pairwise coupling. The Journal of Machine Learning Research, 5:975--1005, 2004.

Digital Library

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[4]

M. Xu, N. Maddage, C. Xu, M. Kankanhalli, and Q. Tian. Creating audio keywords for event detection in soccer video. In ICME'03. IEEE, 2003.

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Cited By

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Ullah FObaidat MUllah AMuhammad KHijji MBaik S(2023)A Comprehensive Review on Vision-Based Violence Detection in Surveillance VideosACM Computing Surveys10.1145/356197155:10(1-44)Online publication date: 2-Feb-2023
https://dl.acm.org/doi/10.1145/3561971
Ramzan MAbid AKhan HAwan SIsmail AAhmed MIlyas MMahmood A(2019)A Review on State-of-the-Art Violence Detection TechniquesIEEE Access10.1109/ACCESS.2019.29321147(107560-107575)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2932114
Acar EIrrgang MManiry DHopfgartner F(2015)Detecting Violent Content in Hollywood Movies and User-Generated VideosSmart Information Systems10.1007/978-3-319-14178-7_11(291-314)Online publication date: 15-Jan-2015
https://doi.org/10.1007/978-3-319-14178-7_11

Index Terms

A Visualization Tool for Violent Scenes Detection
1. Information systems
  1. Information systems applications
    1. Multimedia information systems

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Information & Contributors

Information

Published In

ICMR '14: Proceedings of International Conference on Multimedia Retrieval

April 2014

564 pages

ISBN:9781450327824

DOI:10.1145/2578726

Conference Chairs:
Mohan Kankanhalli
National University of Singapore
,
Stefan Rueger
The Open University, UK
,
R. Manmatha
A9.com, USA
,
General Chairs:
Joemon Jose
University of Glasgow, UK
,
Keith van Rijsbergen
University of Glasgow, UK

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2014

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ICMR '14

ICMR '14: International Conference on Multimedia Retrieval

April 1 - 4, 2014

Glasgow, United Kingdom

Acceptance Rates

ICMR '14 Paper Acceptance Rate 21 of 111 submissions, 19%;

Overall Acceptance Rate 254 of 830 submissions, 31%

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Cited By

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Ullah FObaidat MUllah AMuhammad KHijji MBaik S(2023)A Comprehensive Review on Vision-Based Violence Detection in Surveillance VideosACM Computing Surveys10.1145/356197155:10(1-44)Online publication date: 2-Feb-2023
https://dl.acm.org/doi/10.1145/3561971
Ramzan MAbid AKhan HAwan SIsmail AAhmed MIlyas MMahmood A(2019)A Review on State-of-the-Art Violence Detection TechniquesIEEE Access10.1109/ACCESS.2019.29321147(107560-107575)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2932114
Acar EIrrgang MManiry DHopfgartner F(2015)Detecting Violent Content in Hollywood Movies and User-Generated VideosSmart Information Systems10.1007/978-3-319-14178-7_11(291-314)Online publication date: 15-Jan-2015
https://doi.org/10.1007/978-3-319-14178-7_11

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