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Robust video fingerprinting based on hierarchical symmetric difference feature

Authors:

Jungho Lee,

Seungjae Lee,

Yongseok Seo,

Wonyoung YooAuthors Info & Claims

CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management

Pages 2089 - 2092

https://doi.org/10.1145/2063576.2063897

Published: 24 October 2011 Publication History

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Abstract

The piracy of copyrighted digital content over the Internet infringes copyrights and damages the digital content industry. Accordingly, identifying and monitoring technology on the online content service like fingerprinting is getting valuable through the explosion of digital content sharing. This paper proposes a robust video fingerprinting feature to identify a modified video clip from a large scale database. Hierarchical symmetric difference feature is proposed in order to offer efficient video fingerprinting. The feature is robust and pairwise independent against various video modifications such as compression, resizing, or cropping. Moreover, videos undergoing a transformation such as flipping or mirroring can be identified by simply disordering the bit pattern of fingerprints. The performance of the proposed feature is extensively experimented on 6,482 hours of database and the experimental results show that the proposed fingerprinting is efficient and robust against various modifications.

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Cited By

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Oh TChoi NKim DLee S(2018)Low-complexity and robust comic fingerprint method for comic identificationImage Communication10.1016/j.image.2015.07.00939:PA(1-16)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1016/j.image.2015.07.009
Lee SKim DJadhav SLee S(2018)A restoration method for distorted comics to improve comic contents identificationInternational Journal on Document Analysis and Recognition10.1007/s10032-017-0291-920:4(223-240)Online publication date: 21-Dec-2018
https://dl.acm.org/doi/10.1007/s10032-017-0291-9
Jiwoo Kang Oh TNakyeon Choi Lee SLee SHogab Kang (2014)Network-based content identification system via content-based comics fingerprintThe International Conference on Information Networking 2014 (ICOIN2014)10.1109/ICOIN.2014.6799705(361-363)Online publication date: Feb-2014
https://doi.org/10.1109/ICOIN.2014.6799705
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Index Terms

Robust video fingerprinting based on hierarchical symmetric difference feature
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Information

Published In

CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management

October 2011

2712 pages

ISBN:9781450307178

DOI:10.1145/2063576

Editors:
Bettina Berendt,
Arjen de Vries,
Wenfei Fan,
Craig Macdonald
University of Glasgow, UK
,
Iadh Ounis
University of Glasgow, UK
,
Ian Ruthven
University of Strathclyde, UK

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 October 2011

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video fingerprinting

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CIKM '11

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CIKM '11: International Conference on Information and Knowledge Management

October 24 - 28, 2011

Glasgow, Scotland, UK

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

View all

Oh TChoi NKim DLee S(2018)Low-complexity and robust comic fingerprint method for comic identificationImage Communication10.1016/j.image.2015.07.00939:PA(1-16)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1016/j.image.2015.07.009
Lee SKim DJadhav SLee S(2018)A restoration method for distorted comics to improve comic contents identificationInternational Journal on Document Analysis and Recognition10.1007/s10032-017-0291-920:4(223-240)Online publication date: 21-Dec-2018
https://dl.acm.org/doi/10.1007/s10032-017-0291-9
Jiwoo Kang Oh TNakyeon Choi Lee SLee SHogab Kang (2014)Network-based content identification system via content-based comics fingerprintThe International Conference on Information Networking 2014 (ICOIN2014)10.1109/ICOIN.2014.6799705(361-363)Online publication date: Feb-2014
https://doi.org/10.1109/ICOIN.2014.6799705
Park CKim SWang T(2012)Multimedia Copyright Protection on the Web - Issues and SuggestionsProceedings of the 2012 IEEE International Symposium on Multimedia10.1109/ISM.2012.58(274-277)Online publication date: 10-Dec-2012
https://dl.acm.org/doi/10.1109/ISM.2012.58

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Robust Video Fingerprinting for Content-Based Video Identification

Robust video fingerprinting based on symmetric pairwise boosting

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