poster

Copy detection of immersed content in video databases

Authors:

Marzia Corvaglia,

Fabrizio Guerrini,

Riccardo Leonardi,

Pierangelo Migliorati,

Eliana RossiAuthors Info & Claims

MiFor '10: Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence

Pages 77 - 82

https://doi.org/10.1145/1877972.1877993

Published: 29 October 2010 Publication History

Abstract

Content-Based Copy Detection techniques aim at the identification of modified copies of an original clip in a given database or on the Internet. Usually, a digital fingerprint is computed from the media itself by extracting some features which are later used for the copy detection task. In this paper we propose a system for Video Copy Detection which makes use of several low-level features. In particular we investigate the problem of the detection of copies immersed in dummy multimedia contents. By analyzing the temporal evolution of the selected features, the proposed method detects the relevant part of the query useful for the detection of the original content the query has been extracted from.

Experiments conducted on the data set provided by MPEG indicate that a combined use of different features can be useful for isolating immersed copies. Moreover we can see that the various features act differently with respect to the type of modification the video query suffered.

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Cited By

Battiato SEmmanuel SUlges AWorring Mdel Bimbo AChang SSmeulders A(2010)Second ACM international workshop on multimedia in forensics, security and intelligence (MiFor 2010)Proceedings of the 18th ACM international conference on Multimedia10.1145/1873951.1874348(1741-1742)Online publication date: 25-Oct-2010
https://dl.acm.org/doi/10.1145/1873951.1874348

Index Terms

Copy detection of immersed content in video databases
1. Information systems
  1. Information retrieval
    1. Document representation

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Information

Published In

cover image ACM Conferences

MiFor '10: Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence

October 2010

134 pages

ISBN:9781450301572

DOI:10.1145/1877972

Program Chairs:
Sebastiano Battiato
University of Catania, Italy
,
Sabu Emmanuel
Nanyang Technological University, Singapore
,
Adrian Ulges
German Research Center for Artificial Intelligence, Germany
,
Marcel Worring
University of Amsterdam, The Netherlands

Copyright © 2010 ACM.

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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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 October 2010

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MM '10: ACM Multimedia Conference

October 29, 2010

Firenze, Italy

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Cited By

Battiato SEmmanuel SUlges AWorring Mdel Bimbo AChang SSmeulders A(2010)Second ACM international workshop on multimedia in forensics, security and intelligence (MiFor 2010)Proceedings of the 18th ACM international conference on Multimedia10.1145/1873951.1874348(1741-1742)Online publication date: 25-Oct-2010
https://dl.acm.org/doi/10.1145/1873951.1874348

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