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Authors: Yassine Himeur ; Karima Ait-Sadi and Abdelmalik Oumamne

Affiliation: Centre de Développement des Technologies Avancées (CDTA), Algeria

ISBN: 978-989-758-046-8

Keyword(s): Video Copy Detection, Key-Frames, Gradient Magnitude Similarity Deviation, Binarized Statistical Image Features, Relative Mean Intensity.

Related Ontology Subjects/Areas/Topics: Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia and Communications ; Multimedia Databases, Indexing, Recognition and Retrieval ; Multimedia Security and Cryptography ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Telecommunications

Abstract: Content Based Video Copy Detection (CBVCD) has gained a lot of scientific interest in recent years. One of the biggest causes of video duplicates is transformation. This paper addresses a fast video copy detection approach based on key-frames extraction which is robust to different transformations. In the proposed scheme, the key-frames of videos are first extracted based on Gradient Magnitude Similarity Deviation (GMSD). The descriptor used in the detection process is extracted using a fusion of Binarized Statistical Image Features (BSIF) and Relative Mean Intensity (RMI). Feature vectors are then reduced by Principal Component Analysis (PCA), which can more accelerate the detection process while keeping a good robustness against different transformations. The proposed framework is tested on the query and reference dataset of CBCD task of Muscle VCD 2007 and TRECVID 2009. Our results are compared with those obtained by other works in the literature. The proposed approach shows promis ing performances in terms of both robustness and time execution. (More)

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Paper citation in several formats:
Himeur, Y.; Ait-Sadi, K. and Oumamne, A. (2014). A Fast and Robust Key-Frames based Video Copy Detection Using BSIF-RMI.In Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014) ISBN 978-989-758-046-8, pages 40-47. DOI: 10.5220/0005060000400047

@conference{sigmap14,
author={Yassine Himeur. and Karima Ait{-}Sadi. and Abdelmalik Oumamne.},
title={A Fast and Robust Key-Frames based Video Copy Detection Using BSIF-RMI},
booktitle={Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)},
year={2014},
pages={40-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005060000400047},
isbn={978-989-758-046-8},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)
TI - A Fast and Robust Key-Frames based Video Copy Detection Using BSIF-RMI
SN - 978-989-758-046-8
AU - Himeur, Y.
AU - Ait-Sadi, K.
AU - Oumamne, A.
PY - 2014
SP - 40
EP - 47
DO - 10.5220/0005060000400047

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