A Secure and Robust Object-Based Video Authentication System

Abstract

<p/> <p>An object-based video authentication system, which combines watermarking, error correction coding (ECC), and digital signature techniques, is presented for protecting the authenticity between video objects and their associated backgrounds. In this system, a set of angular radial transformation (ART) coefficients is selected as the feature to represent the video object and the background, respectively. ECC and cryptographic hashing are applied to those selected coefficients to generate the robust authentication watermark. This content-based, semifragile watermark is then embedded into the objects frame by frame before MPEG4 coding. In watermark embedding and extraction, groups of discrete Fourier transform (DFT) coefficients are randomly selected, and their energy relationships are employed to hide and extract the watermark. The experimental results demonstrate that our system is robust to MPEG4 compression, object segmentation errors, and some common object-based video processing such as object translation, rotation, and scaling while securely preventing malicious object modifications. The proposed solution can be further incorporated into public key infrastructure (PKI).</p

Video Authentication using PLEXUS Method

“…Digital video applications have a large number of advantages compared with custom analog video, better image quality, better color reproduction, and sharper images. Additionally, with the development in digital technologies, a video is often simple to carried over the internet and it produces easy editing and cropping [6].…”

“…Some civilians have setup mobile CCTV systems in their home and even their cars just in case of anything happen and they need to secure themselves or discover a crime that can happen any time. In fact, the police originally setup cruiser video recording systems to protect themselves and also to protect the citizens [6] [7].…”

“…The subjective method quality evaluation being considered as time consuming because it is depending on human evaluation and work without references to specific considerations. The objective quality evaluation takes advantage of automatic algorithms to determine the quality of the image without human interfere [6] [14].…”

Integrating SVM classification with SVD watermarking for intelligent video authentication

“…In [18,19], an error correcting code based watermarking algorithm is used to perform end-to-end video authentication. Other watermarking algorithms for video authentication can be found in [7,8,20].…”

“…We compare the performance of the proposed video authentication algorithm with the motion trajectory based video authentication algorithm [24] and object watermarking based authentication algorithm [7]. Table 3 shows the theoretical and experimental comparison among the three algorithms.…”