Towards Effective Content Authentication for Digital Videos by Employing Feature Extraction and Quantization

A content authentication scheme for digital videos is proposed in this paper. In order to prevent the content from being unnoticeably tampered with by using digital editing facilities, we employ the approach of scalar/vector quantization on the reliable features extracted from video frame blocks to form the authentication code, which is transmitted along with the video. The resulting authentication code is sensitive to malicious modifications of video data but resilient to allowed lossy compression processes, such as H.264/advanced video coding (AVC). The integrity of video content can thus be guaranteed if the extracted feature matches the transmitted authentication code. Experimental results will show the feasibility of the proposed scheme.