Digital Video Manipulation Detection Technique Based on Compression Algorithms

Autor: Fernandez, Edgar Gonzalez, Orozco, Ana Lucila Sandoval, Villalba, Luis Javier Garcia
Rok vydání: 2024
Předmět:
Zdroj: IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 3, pp. 2596-2605, December 2021
Druh dokumentu: Working Paper
DOI: 10.1109/TITS.2021.3132227
Popis: 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.
Databáze: arXiv