Video Matting Tamper Detection Based on Compressed Tracking

In the digital era, the authenticity of video content has become a significant concern, especially given the rapid advancements in video technology and the increasing potential for tampering. This poses risks to information reliability and impacts areas like legal proceedings, media integrity, and personal privacy. This paper introduces a novel video matting tamper detection method that employs compressed tracking to ascertain the authenticity of video subjects. The method involves several precise steps: initially, edge detection highlights potential tampering by outlining object boundaries. Feature analysis then examines elements like color and texture for anomalies, and target tracking monitors object movements over time to identify inconsistencies. A final comparison of these results with known authentic characteristics helps pinpoint tampering signs. Extensive testing has proven the method’s effectiveness in detecting various tampering types accurately, offering a reliable tool for verifying video authenticity and contributing valuable insights to the field of information security.