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Digital Video Manipulation Detection Technique Based on Compression Algorithms
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AI
DOI：10.1109/TITS.2021.3132227.png)
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Abstract
En 中文
Digital images and videos play a very important role in everyday life. Nowadays, people have access the affordable mobile devices equipped with advanced integrated cameras and powerful image processing applications. Technological development facilitates not only the generation of multimedia content, but also the intentional modification of it, either with recreational or malicious purposes. This is where forensic techniques to detect manipulation of images and videos become essential. This paper proposes a forensic technique by analysing compression algorithms used by the H.264 coding. The presence of recompression uses information of macroblocks, a characteristic of the H.264-MPEG4 standard, and motion vectors. A Vector Support Machine is used to create the model that allows to accurately detect if a video has been recompressed.
Keywords:
Correlation
Image coding
Cameras
Technological innovation
Support vector machines
Forensics
Transform coding
Compression
digital videos
forensic analysis
forgery detection
macroblocks
manipulation
support vector machine
Journal
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Citations:
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