Digital Video Manipulation Detection Technique Based on Compression Algorithms
This addresses the need for forensic techniques to detect video manipulation, which is crucial for security and authenticity in multimedia, but it appears incremental as it builds on existing compression analysis methods.
The paper tackles the problem of detecting manipulated digital videos by analyzing compression algorithms, specifically using H.264 coding features like macroblocks and motion vectors, and achieves accurate detection with a Vector Support Machine model.
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.