Inter-frame Relationship Graph Based Near-Duplicate Video Clip Detection Method

Author(s):  
Xinbo Ai ◽  
Yinan He ◽  
Yanzhu Hu ◽  
Wenjia Tian
2011 ◽  
Vol 31 (5) ◽  
pp. 1447-1449
Author(s):  
Yu LI ◽  
Lei-yong GUO ◽  
Hong-zhou TAN

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3953
Author(s):  
Han Pu ◽  
Tianqiang Huang ◽  
Bin Weng ◽  
Feng Ye ◽  
Chenbin Zhao

Digital video forensics plays a vital role in judicial forensics, media reports, e-commerce, finance, and public security. Although many methods have been developed, there is currently no efficient solution to real-life videos with illumination noises and jitter noises. To solve this issue, we propose a detection method that adapts to brightness and jitter for video inter-frame forgery. For videos with severe brightness changes, we relax the brightness constancy constraint and adopt intensity normalization to propose a new optical flow algorithm. For videos with large jitter noises, we introduce motion entropy to detect the jitter and extract the stable feature of texture changes fraction for double-checking. Experimental results show that, compared with previous algorithms, the proposed method is more accurate and robust for videos with significant brightness variance or videos with heavy jitter on public benchmark datasets.


2011 ◽  
Vol 26 (10) ◽  
pp. 612-627 ◽  
Author(s):  
Hyun-seok Min ◽  
Jae Young Choi ◽  
Wesley De Neve ◽  
Yong Man Ro

Author(s):  
Zi Huang ◽  
Liping Wang ◽  
Heng Tao Shen ◽  
Jie Shao ◽  
Xiaofang Zhou

2009 ◽  
Vol 11 (5) ◽  
pp. 879-891 ◽  
Author(s):  
Xiangmin Zhou ◽  
Xiaofang Zhou ◽  
Lei Chen ◽  
A. Bouguettaya ◽  
Nong Xiao ◽  
...  

2011 ◽  
Vol 18 (4) ◽  
pp. 337-358
Author(s):  
Chidansh A. Bhatt ◽  
Pradeep K. Atrey ◽  
Mohan S. Kankanhalli

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