International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 02 Issue: 03 | June-2015 www.irjet.net p-ISSN: 2395-0072 © 2015, IRJET.NET- All Rights Reserved Page 168 AN EFFICIENT VIDEO WATERMARKING USING COLOR HISTOGRAM ANALYSIS AND BITPLANE IMAGE ARRAYS G Prakash 1 ,TVS Gowtham Prasad 2, T.Ravi Kumar Naidu 3 1 MTech(DECS) student, Department of ECE, sree vidyanikethan engg college,tirupathi,Andhra Pradesh,India 2 Assistant professor, Department of ECE, sree vidyanikethan engg college,tirupathi,,Andhra Pradesh,India 3 Assistant professor, Department of ECE, sree vidyanikethan engg college,tirupathi,Andhra Pradesh,India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The paper presents video watermarking technology based on color histogram analysis and luminance value adjustment in according to watermark bitplane image arrays. The main objective of this approach is to minimize the error at high data hiding capacity in order to preserve the quality of video. By considering this, the watermarking process will be handled in luminance plane and frame selection is based on changes of RGB histogram bins. This technology is used to hide copyright information to protect original contents from video tampering, broadcasting and for other authentication. Implementation of this method involves watermark bitplane image conversion, color histogram based changes detection in video scenes and luminance value adjustment. Before the watermark embedding, the original watermark pixels intensities will be converted into bitplanes. Then by using RGB space histogram variation between the successive two frames, the relevant frame will be selected. After selecting the frame, each bit of bitplane image will be embedded into luminance plane of corresponding frame. The desired pixels will be selected from the 8x8 non overlapping blocks of luminance plane. At each block, seven bits of bitplane image are hidden under the luminance values chosen by data hider. This process is continued for all remaining watermark bits. At watermark recovery, continue same process handled in embedding stage. The simulated results shows that watermarking using color histogram and luminance adjustment provides better performance interms of preserving original video quality and accuracy in recovered watermark during extraction. The performance measures such as smean square error and peak signal to noise ratio are evaluated to evaluate the system performance. Key Words: video watermarking, bit-plane images 1. INTRODUCTION The multimedia data which is available in the internet is all in the form of digital. If the data is in analog form then we cannot produce as it is. But the data which is in the form of digital can be reproduce as it is without any error. Due to the advancements in digital technology. So, the owners of content are suffering with illegal copying of their data. The traditional copyright protection methods like encryption etc. are not sufficient. Because, the content can be protected only while during transmission. After receiving the data, if once the decrypted then the data cannot be protected. To overcome this problem watermarking technology is developed. Robustness, fidelity and data payload are the three parameters of watermarking. There exists a complex trade off between these parameters. Robustness of watermark refers to the ability to withstand non-malicious distortions. Fidelity is the visual similarity between the stego image and its cover image. Data payload is the encoded message size of a watermark in an image. The simplest form of watermark has no payload. These three parameters are conflicting and tradeoff has to be found which is often tied to the targeted application. Digital watermarking is an effective method to protect the authenticity by hiding the copyright information in the original content. Applications of digital watermarking include Digital rights management, copyright protection, authentication, tamper detection and localization, Broadcast monitoring, device control,, communication enhancement. Video contains large amount of redundant data. Based on the embedding watermark, video watermarking can be classified into 3 types as follows. 1. Watermark embedding in compressed bit stream. 2. Watermark embedding in the quantization coefficients during encoding the video. 3. Watermark embedding into original video. The first method does not require encoding and decoding of video. And also not affect the video quality. But, the algorithm is not easy to design. In the second method, the algorithm is easy to design and bit rate of video will not increased. But, the video quality will decrease. In this paper we propose a new blind video watermarking algorithm. The grey scale image is used as watermark image. The grey scale image decomposed into 8-bitplane images and each bit plane is embedded into different scenes of video sequence. The bit planes of watermark image are embedded only in the Y-channel. Some of luminance values from video frames are selected and divided into groups. By adjusting the relative relationship of the member in each group, watermark is embedded. Only a sufficient number of bits has to be