VIDEO WATERMARKING USING K HARRIES FEATURE POINT DETECTION TECHNIQUE

Abstract

Video watermarking is effectively a new technology that has been provided us a platform to solve the problem of illegal manipulation and distribution of digital video. It is the process of embedding copyright information in video bit streams. In this thesis, I propose one effective, robust and imperceptible video watermarking algorithm using K harris point detection. In this algorithm, watermark bit information are embedded in the transformed video in a diagonal-wise fashion, and bits are embedded in a blocks-wise fashion. The performance of the proposed algorithm was evaluated with respect to imperceptibility, robustness and data payload. This algorithms showed similar but high level of imperceptibility, however their performance varied with respect to robustness and payload. The diagonal-wise based algorithm achieved better robustness results, while the block-wise algorithm gave higher data payload rate. This thesis presents a content-based digital image-watermarking scheme, which is robust against a variety of common image-processing attacks and geometric distortions. The image content is represented by important feature points obtained by our image-texture-based adaptive Harris corner detector. These important feature points are geometrically signficant and therefore are capable of determining the possible geometric attacks with the aid of the Delaunay-tessellation-based triangle matching method. newline