Vinay D R

Work place: Malnad College of Engineering, Hassan – 573202, India

E-mail: vinu.ise@gmail.com

Website:

Research Interests: Image Processing, Neural Networks, Machine Learning

Biography

Vinay D R worked as a Assistant Professor in the Department Computer Science Engineering, Channabasaveshwara Institute of Technology, Gubbi. He obtained his BE Degree Computer Science Engineering from Visvesvaraya Technological University, Belgaum His specialization Master of Technology in Computer Science and Engineering at Channabasaveshwara Institute of Technology, Gubbi.VTU, Belgaum.

He is pursuing PhD in Computer Science Engineering, Malnad College of engineering, Hassan. His area of interest is in the field of Digital Image Processing, steganography, machine learning and neural network. He is professional membership in ISTE, New Delhi.

Author Articles
A Novel Secure Data Hiding Technique into Video Sequences Using RVIHS

By Vinay D R Ananda Babu J

DOI: https://doi.org/10.5815/ijcnis.2021.02.05, Pub. Date: 8 Apr. 2021

Most of the present hiding techniques on video are considered over plaintext domain and plain video sequences are used to embed information bits. The work presented here reveals the novelty for information embedding in a video sequence over the ciphered domain. The carrier video signal is encrypted using chaos technique which uses multiple chaotic maps for encryption. The proposed reversible video information hiding scheme (RVIHS) exhibits an innovative property that, at the decoding side we can perfectly extract the information along with carrier video without any distortion. The public key modulation is a mechanism used to achieve data embedding, where as in secret key encryption is not required. The proposed approach is used to differentiate encoded and non-encoded picture patches at decoder end by implementing 2 class Support Vector Machine grouping. This helps for us to retrieve the original visual sequence with embedded message and to scale up embedding capacity. The experiment is conducted using real time videos for embedding the information. The outcome of proposed work bring about best embedding capacity, compared to existing techniques.

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