Digital Video Manipulation Detection Technique Based on Compression Algorithms

Abstract

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.

A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends

“…This section gives an overview of where video forensics is right now. Fred et al proposed a model [57] in which static and temporal distortions are manipulated while a video goes through double MPEG compression. Furthermore, frames that can be temporarily replicated -such as when moving from one set of images to another for a project or adding frames to a video -generate serious motion zoom concerns.…”

Investigation on Motion Teaching Video Compression Algorithm Based on Artificial Intelligence

“…Therefore, extracting these key frames is of great significance for applications such as dynamic video classification and human motion analysis. At present, the main methods for extracting motion pose keyframes are based on trajectory analysis, deep learning, and neural network methods [9][10]. Among them, the trajectory analysis based method divides the trajectory into several segments, and the obtained attitude data must meet certain prior conditions.…”