Copy detection of immersed content in video databases

Authors:
Marzia Corvaglia;Fabrizio Guerrini;Riccardo Leonardi;Pierangelo Migliorati;Eliana Rossi
Affiliations:
DII - University of Brescia, Brescia, Italy;DII - University of Brescia, Brescia, Italy;DII - University of Brescia, Brescia, Italy;DII - University of Brescia, Brescia, Italy;DII - University of Brescia, Brescia, Italy
Venue:
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
Year:
2010

Citing 8
Cited 1

Ordinal Measures for Image Correspondence

IEEE Transactions on Pattern Analysis and Machine Intelligence
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

Communications of the ACM
A Metric for Distributions with Applications to Image Databases

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
Robust voting algorithm based on labels of behavior for video copy detection

MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions

Communications of the ACM - 50th anniversary issue: 1958 - 2008
Fast and robust video copy detection scheme using full DCT coefficients

ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
An Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering

IEEE Transactions on Multimedia

Second ACM international workshop on multimedia in forensics, security and intelligence (MiFor 2010)

Proceedings of the international conference on Multimedia

Quantified Score

Hi-index	0.00

Visualization

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.