Video Copy Detection Based on Fusion of Spatio-temporal Features

DOI

10.2991/isccca.2013.63How to use a DOI?

Keywords

Video copy detection, Speeded-up robust feature, Spatio-temporal behavior of trajectories, Bag of visual words, Grade-match.

Abstract

A video copy detection method based on fusion of spatio-temporal features is proposed in this paper. Firstly, trajectories are built and lens boundaries are detected by SURF features analyzing, then normalized histogram is used to describe spatio-temporal behavior of trajectories, the bag of visual words is constructed by trajectories behavior clustering, word frequency vectors and SURF features with behavior labels are extracted to express spatio-temporal content of lens, finally, duplicates are detected efficiently based on grade-match. The experimental results show the performance of this method is improved greatly compared with other similar methods.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wei Bao
AU  - Lixin Ji
AU  - Shilin Gao
AU  - Xing LI
AU  - Lixiong Liu
PY  - 2013/02
DA  - 2013/02
TI  - Video Copy Detection Based on Fusion of Spatio-temporal Features
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 255
EP  - 260
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.63
DO  - 10.2991/isccca.2013.63
ID  - Bao2013/02
ER  -