Spatio-temporal Features for Efficient Video Copy Detection

2013 ◽  
pp. 120-127 ◽  
Author(s):  
Ruijuan Hu ◽  
Bing Li ◽  
Weiming Hu ◽  
Jinfeng Yang
Keyword(s):  
Video Copy Detection ◽  
Copy Detection ◽  
Temporal Features ◽  
Spatio Temporal ◽  
Efficient Video

Video Copy Detection Based on Fusion of Spatio-Temporal Features

2013 ◽  
Vol 347-350 ◽  
pp. 3653-3661
Author(s):  
Wei Bao ◽  
Li Xin Ji ◽  
Shi Lin Gao ◽  
Xing Li ◽  
Li Xiong Liu
Keyword(s):  
Detection Method ◽  
Temporal Behavior ◽  
Bag Of Visual Words ◽  
Video Copy Detection ◽  
Copy Detection ◽  
Visual Words ◽  
Temporal Features ◽  
Surf Features ◽  
Spatio Temporal ◽  
Frequency Vectors

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.

scholarly journals Video Copy Detection Using Spatio-Temporal CNN Features

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 100658-100665 ◽  
Author(s):  
Zhili Zhou ◽  
Jingcheng Chen ◽  
Ching-Nung Yang ◽  
Xingming Sun
Keyword(s):  
Video Copy Detection ◽  
Copy Detection ◽  
Spatio Temporal

Efficient video copy detection using multi-modality and dynamic path search

2014 ◽  
Vol 22 (1) ◽  
pp. 29-39 ◽  
Author(s):  
Teng Li ◽  
Fudong Nian ◽  
Xinyu Wu ◽  
Qingwei Gao ◽  
Yixiang Lu
Keyword(s):  
Video Copy Detection ◽  
Copy Detection ◽  
Path Search ◽  
Dynamic Path ◽  
Efficient Video
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