Core Concepts
The author proposes a forensic technique based on compression algorithms to detect video manipulation, focusing on the H.264 coding standard. By analyzing macroblocks and motion vectors, a Vector Support Machine accurately detects recompression in videos.
Abstract
Digital images and videos are easily manipulated in today's digital age, raising concerns about authenticity. The proposed technique analyzes compression algorithms to detect video manipulation by examining macroblocks and motion vectors. The study aims to enhance forensic tools for detecting image and video alterations accurately.
The research delves into the importance of authenticating multimedia content due to the rise in digital manipulations using advanced software tools. Techniques like intra-frame and inter-frame manipulations are explored, emphasizing the need for robust detection methods. The study highlights the challenges posed by modern technology in deceiving human perception through image alterations.
Furthermore, the paper discusses previous works on detecting manipulations in images and videos, focusing on techniques like in-painting detection and noise analysis. It also addresses issues related to multiple compressions and recompression detection in videos using SVMs. The experiments conducted evaluate the effectiveness of the proposed algorithm across different resolutions.
Overall, the study underscores the significance of developing reliable forensic tools to combat digital manipulation effectively, ensuring the integrity and authenticity of multimedia content.
Stats
"This paper proposes a forensic technique by analysing compression algorithms used by the H.264 coding."
"A Vector Support Machine is used to create the model that allows to accurately detect if a video has been recompressed."