Publication Type : Conference Paper
Thematic Areas : Amrita e-Learning Research Lab
Publisher : Proceedings - 2015 5th International Conference on Advances in Computing and Communications, ICACC 2015
Source : Proceedings - 2015 5th International Conference on Advances in Computing and Communications, ICACC 2015, Institute of Electrical and Electronics Engineers Inc., p.447-450 (2016)
ISBN : 9781467369947
Keywords : Bit error rate, Copyright protections, Copyrights, Cosine transforms, Digital multimedia, Digital Rights Management, Digital watermarking, Discrete Cosine Transform(DCT), Discrete cosine transforms, Discrete Fourier transforms, Discrete wavelet transforms, E-learning, Frequency domain analysis, Frequency domain transforms, Image coding, Learning systems, Peak signal to noise ratio, Platform for learning, Side information, Signal to noise ratio, Teaching, Wavelet transforms
Campus : Amritapuri
School : School of Engineering
Center : E-Learning
Department : E-Learning
Year : 2016
Abstract : E-Learning system provides a new platform for learning and is becoming more and more popular nowadays. As part of E-Learning, digital multimedia contents like video lectures, seminar talks are made available to the learners through the internet. The teachers or the authority upload videos in the file repositories of E-learning systems. It is not so difficult to copy such files without quality loss. Any user can obtain the copies of these videos and upload and claim it as their own. So the security plays an important role in ELearning. Digital watermarking is a strong solution for this problem. In this paper we propose a method for digital watermarking in which frequency domain transforms (Discrete Cosine Transform (DCT), Discrete Fourier Transform (DFT), Discrete Wavelet Transform (DWT)) are used for the data insertion. The decoding is based on the side information which produced at the time of watermarking. We have compared the Peak signal-to-noise ratio (PSNR) and Bit Error Rate (BER) of the results. The testing includes applying of spatial attacks and compression attacks on the watermarked video. The result shows that the method using wavelet transform is more efficient.
Cite this Research Publication : P. M. Neena, S. Narayanan, A., and Kamal Bijlani, “Copyright Protection for E-Learning Videos Using Digital Watermarking”, in Proceedings - 2015 5th International Conference on Advances in Computing and Communications, ICACC 2015, 2016, pp. 447-450.