Abstract

Video is the most challenging and has lots of issues than other type of multimedia data and video authentication is one of the popular issues regarding the video. Technologies of communication nowadays can simplify sharing of multimedia data such as text, images and videos through online or offline and a wide spread of video content its significant to assure the integrity and originality of video information. Recently, a lot of cases have been stated regarding an illegal activity in the video. Such as, video editing or video tampering attacks to ruin the authenticity of the video. With only minor alterations could change the meaning of the video. Video authentication detection is a popular issue and of high importance in various fields such as in forensic investigations, court of law and video surveillance. A lot of techniques are proposed by previous study to assure the originality of video in their own way. In this study, it focuses to detect tampering attacks and alterations in video using shot boundary detection techniques. Shot boundary detection is a very challenging task and it’s commonly used for structured video because these techniques can detect the changes made with normal shot change rate. Meanwhile, this research will emerge to produce new model for video structure detection using shot boundary detection with the histograms feature that is significant to design of powerful tools to detect an originality of video and to locate the tampering attacks in video.

Full Text
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