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Efficient Spatiotemporal Matching for Video Copy Detection in H.264/AVC Video

by Mohammad Athar Ali, Eran A. Edirisinghe
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 15
Year of Publication: 2012
Authors: Mohammad Athar Ali, Eran A. Edirisinghe
10.5120/5614-7890

Mohammad Athar Ali, Eran A. Edirisinghe . Efficient Spatiotemporal Matching for Video Copy Detection in H.264/AVC Video. International Journal of Computer Applications. 41, 15 ( March 2012), 1-7. DOI=10.5120/5614-7890

@article{ 10.5120/5614-7890,
author = { Mohammad Athar Ali, Eran A. Edirisinghe },
title = { Efficient Spatiotemporal Matching for Video Copy Detection in H.264/AVC Video },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 15 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number15/5614-7890/ },
doi = { 10.5120/5614-7890 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:29:38.799883+05:30
%A Mohammad Athar Ali
%A Eran A. Edirisinghe
%T Efficient Spatiotemporal Matching for Video Copy Detection in H.264/AVC Video
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 15
%P 1-7
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes an efficient video copy detection method for the H. 264/AVC standard. The mechanism is based on content based copy detection (CBCD). The proposed method divides each frame within a group of three consecutive frames into a grid. Each corresponding grid across these groups of frames is then sorted in an ordinal vector which describes both, the spatial as well as the temporal variation. This ordinal matrix based copy-detection scheme is effective in detecting not only a copied video clip but also its location within a longer video sequence. The technique has been designed to work in the compressed domain which makes it computationally very efficient. The proposed mechanism was tested on a number of video sequences containing copies which had undergone a variety of modifications. The results proved that the proposed technique is capable of detecting these copies effectively and efficiently and hence is suitable for forensic applications.

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Index Terms

Computer Science
Information Sciences

Keywords

Content-based Copy Detection H. 264/avc Ordinal Measurement

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