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VIDEO STEGANOGRAPHY FOR SECURE COMMUNICATION BASED ON ADJOIN PREDICTION AND VECTOR QUANTIZATION
Dr. R.Umadevi

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 5, Issue-1, pp.79-91, Jan 2018
DPI :-> 16.10046.IJCESR.2018.V5I1.7991.2302



Abstract
The swift progress of data transfer through internet has made data to reach the destination at a faster manner. At the same time, the data being transferred through internet can be reorganized and misused through hacking. Many data hiding scheme using Particle Swarm Optimization (PSO) method and Structural Similarity (SSIM) indexes have been carried out but compromising image quality when applied to video frame and reversible method not effective in producing high performance code streams. In this work a reversible encoding method called, Adjoin Prediction and Vector Quantization (APVQ) are presented. Finally, to optimize the video quality and embedding capacity, the embedding capacity is adjusted according to the property of a frame in Grade Reversible Adjoin Prediction mechanism. Experimental analysis shows that our mechanism is able to reduce the runtime to extract the secret information by 31.43% and improves the true positive rate by 11.79% compared to the state-of-the-art works.

Key-Words / Index Term
Particle Swarm Optimization, Structural Similarity, Reversible Encoding, Adjoin Prediction, Index value, Region Match, Vector Quantization

How to cite this article
Dr. R.Umadevi , “VIDEO STEGANOGRAPHY FOR SECURE COMMUNICATION BASED ON ADJOIN PREDICTION AND VECTOR QUANTIZATION”, International Journal of Current Engineering And Scientific Research ( IJCESR), 5, Issue-1, pp.79-91, Jan 2018. DPI:16.10046.IJCESR.V5.I1.2302