@inproceedings{0b8c79bfdf394b99a00fd1066fac6473,
title = "Content-Based Multimedia Copy Detection",
abstract = "In this paper, we address the problem of multimedia content-based copy detection. We propose several audio and video fingerprints that are highly robust to audio and video transformations. We propose to accelerate the search of fingerprints by using a Graphics Processing Unit (GPU). To speedup this search even further, we propose a two-step search based on a clustering technique and a lookup table that reduces the number of comparisons between the query and the reference fingerprints. We evaluate our fingerprints on the well-known TRECVID 2009 and 2010 datasets, and we show that the proposed fingerprints outperform other state-of-the-art audio and video fingerprints while being significantly faster.",
keywords = "audio fingerprint, content-based copy detection, feature extraction, fingerprinting, video fingerprint",
author = "Chahid Ouali and Pierre Dumouchel and Vishwa Gupta",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 17th IEEE International Symposium on Multimedia, ISM 2015 ; Conference date: 14-12-2015 Through 16-12-2015",
year = "2016",
month = mar,
day = "25",
doi = "10.1109/ISM.2015.40",
language = "English",
series = "Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "597--600",
booktitle = "Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015",
}