Robust Video Watermarking Algorithm Using K-Harries Feature Point Detection
Harpreet Singh, Assistant Professor, Department of Electrical Communication Engineering, Yadawindra College of Engineering, Guru Kashi Campus, Punjabi University Patiala (Punjab). India.
Manuscript received on August 15, 2015. | Revised Manuscript received on August 26, 2015. | Manuscript published on September 05, 2015. | PP: 77-83 | Volume-5 Issue-4, September 2015 . | Retrieval Number: D2701095415 /2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: In this Paper, An effective, robust and imperceptible video watermarking algorithm using K–harris point detection is proposed. 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. This paper 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.
Keywords: Robustness, Feature point, video watermarking, Bit error rate(BER).