Research on Video Tampering Detection Method Based on Multilevel Smoothness Analysis

This paper introduces a video tampering detection system based on multilevel smoothness analysis. It extracts image sets and segment sets from the video, analyzes the motion vectors and their correlations in the segment sets, and preliminarily evaluates whether the video has been tampered with by judging the forward or reverse correlation of the motion vectors. Then, it calculates and analyzes observation vectors, determining the presence of tampering in the video by evaluating the smoothness of auxiliary vectors. This study introduces multilevel smoothness analysis to enhance the accuracy and efficiency of video tampering detection. Through comprehensive consideration of the correlation of motion vectors and the smoothness of auxiliary vectors, extensive experiments have shown that the proposed method can effectively identify various types of video tampering, providing a new technical approach to ensure the authenticity and security of video content.