Efficient video watermarking with SWT and empirical PCAbased decoding
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 5
Abstract
Abstract: Digital content piracy is one of the major crimes in the present world. Protection of digital content like music, video and images has become a major problem. Watermarking is one of the methods to protect digital content against unauthorized copying. In watermarking procedure, generally, watermark is embedded before it is going to be distributed over different communication channels. This paper presents a novel technique for embedding a image/data into video frames. Video Watermarking is a process by which user specified data is hidden or embedded into another signal (Video Signal) by the watermark embedding process. Afterwards the recovery of the watermark is achieved with the help of the watermark extraction process. The proposed scheme is an imperceptible and a robust hybrid video watermarking scheme. PCA is applied to each block of the any bands which result from Stationary Wavelet transform of every video frame. The watermark is embedded into the first principal components of the any blocks in different ways. Combining the two transforms improved the performance of the watermark algorithm. The scheme is tested by applying various attacks. Experimental results show no visible difference between the watermarked frames and the original frames. In our paper, to embed the watermark, stationary wavelet transform (SWT) is used in combination with principal component analysis (PCA) in order to increase the robustness against many attacks, to increase the amount of payload and also the processing speed.
Authors and Affiliations
Teena M. Thomas
Keywords
Related Articles
- EP ID EP152806
- DOI -
- Views 106
- Downloads 0
Natural Language Query Processing on Dynamic Databases Using Semantic Grammar
Abstract: Ease and effectiveness of Information Retrieval from Structured Database through Natural Language provides high utility value. The main purpose of Natural Language Query Processing is that an English...
Face Recognition using Radial Basis Neural Network
Abstract: In this paper, we propose four techniques for extraction of facial features namely PCA, LDA, KPCA and KFA. The purpose of face feature extraction is to capture certain discriminative features that are unique fo...
Automated histopathological image analysis: a review on ROI extraction
Abstract: This review paper deals with the latest technology developed on computer assisted analysis for histopathology images. The process for locating, analyzing and classification of lethal diseases like cancer, using...
Cloud Computing: Demand and Supply in Banking, Healthcare and Agriculture
Abstract: Right from the Stone Age one law is governing the market for every generation and that well acknowledged law is “Law of Demand & Supply”. ICT is not far away from this law. It is a well-known fact t...
Accurate Localization of Wireless Sensor Node Using Genetic Algorithm And Kalman Filter
Abstract: In wireless sensor network finding the node position is known as localization. Wireless sensor networks are widely adopted in many location sensitive applications including disaster management, environmental mo...