Similarity Analysis of Residual Frames for Inter Frame Forgery Detection in Video

被引：0
|
作者：
Sowmya, K. N. [1 ]
Basavaraju, H. T. [2 ]
Lohitashva, B. H. [2 ]
Chennamma, H. R. [2 ]
Aradhya, V. N. Manjunath [2 ]
机构：
[1] JSS Acad Tech Educ, Bengaluru, Karnataka, India
[2] JSS Sci & Technol Univ, Mysuru, Karnataka, India
来源：
INTELLIGENT COMPUTING AND COMMUNICATION, ICICC 2019 | 2020年 / 1034卷
关键词：
Frame duplication; Frame replication; Video forgery; Inter frame forgery;
D O I：
10.1007/978-981-15-1084-7_83
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The credibility of digital videos obtained from various sources like surveillance cameras, smartphones, webcams used as evidence in courtrooms, medical world, and journalism needs to be verified for its authenticity and integrity to detect video forgery. The proposed forensic approach detects inter frame forgery due to frame duplication based on statistical correlation for the digital video. The statistical correlation in video content of the frames has been explored through textural features to identify frame duplication and is verified. Experimental results demonstrate accuracy in identifying frame replication.
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页码：847 / 855
页数：9
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