Video Copy Detection Based on Fusion of Spatio-temporal Features
Wei Bao, Lixin Ji, Shilin Gao, Xing LI, Lixiong Liu
Available Online February 2013.
- https://doi.org/10.2991/isccca.2013.63How to use a DOI?
- Video copy detection, Speeded-up robust feature, Spatio-temporal behavior of trajectories, Bag of visual words, Grade-match.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/isccca.2013.63 ID - Bao2013/02 ER -