A Robust And Accurate Video Watermarking System Based On SVD Hybridation For Performance Assessment

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2020 by IJETT Journal
Volume-68 Issue-7
Year of Publication : 2020
Authors : Dr. k. Raju, A. Sampath Dakshina Murthy, Dr. B. Chinna Rao, Sindhura Bhargavi, G. Jagga Rao, K. Madhu, K. Saikumar
  10.14445/22315381/IJETT-V68I7P204S

MLA 

MLA Style: Dr. k. Raju, A. Sampath Dakshina Murthy, Dr. B. Chinna Rao, Sindhura Bhargavi, G. Jagga Rao, K. Madhu, K. Saikumar  "A Robust And Accurate Video Watermarking System Based On SVD Hybridation For Performance Assessment" International Journal of Engineering Trends and Technology 68.7(2020):19-24. 

APA Style: Dr. k. Raju, A. Sampath Dakshina Murthy, Dr. B. Chinna Rao, Sindhura Bhargavi, G. Jagga Rao, K. Madhu, K. Saikumar. A Robust And Accurate Video Watermarking System Based On SVD Hybridation For Performance Assessment  International Journal of Engineering Trends and Technology, 68(7),19-24.

Abstract
In modern days, multimedia technology plays an important role. Various Wireless channels are available for encouraging the communication systems; in that internet has an important and trending channel for sharing of multimedia information. This facility has dual objectives like positives and controversies related to multimedia digital industry. The positive evaluation tends to improve the revenue and quality of the organization. Coming to controversy, Excessive allotment of large multimedia information through internet causes the loss. An audio, image and videos etc. are has been taken as multimedia information. The controversies which are mentioned above solve by different ways and implements a solution called as water marking. In this work various implementations are compared and suggest the perfect technique for video watermarking. Using this increases the efficiency by 97.86% and throughput by 96.78% this is good achievement compared to existed methods

Reference

[1] “Exploration of performance analysis of cooperation among nodes in wireless sensor networks: a study poornima vakacharla1”, kayam saikumar2
[2] “Fetal ecg extraction in light of adaptive filters and wavelet transform approval and application in fetal heart rate variability analysis of low power iot platform ramyakrishna rajavolu1”, kayam saikumar2
[3] Efficient 1024-point low power radix-22 fft processor with mffmd sai kumar kayam, k.raghavarao, srinivasakumarch, gurramnarender, a sreenivasarao, skhasaneahammad.
[4] Saikumar, K., V. Rajesh, N. Ramya, S. H. Ahammad, and G. N. S. Kumar. 2019. " “A Deep Learning Process for Spine and Heart Segmentation using Pixel-Based Convolutional Networks”." Journal of International Pharmaceutical Research 46: 278-282. www.scopus.com.
[5] A, Y., Santosh Kumar, G. N., & A, S. (2018). “Design of a New Generation moving Malkway for Congested City Areas”. 2018 International Conference on Automation and Computational Engineering (ICACE). doi:10.1109/icace.2018.8687112.
[6] 2. Saikumar, K., Rajesh, V., Ramya, N., Ahammad, S. H., & Kumar, G. N. S. (2019). “A deep learning process for spine and heart segmentation using pixel-based convolutional networks”. Journal of International Pharmaceutical Research, 46, 278-282. Retrieved from www.scopus.com
[7] Rajesh, V., Saikumar, K., & Ahammad, S. K. H. (2019). “A telemedicine technology for cardiovascular patients diagnosis feature using knn-mpm algorithm”. Journal of International Pharmaceutical Research, 46, 72-77. Retrieved from www.scopus.com
[8] Rajesh, V., Saikumar, K., & Ahammad, S. K. H. (2019). “A telemedicine technology for cardiovascular patients diagnosis feature using knn-mpm algorithm”. Journal of International Pharmaceutical Research, 46, 72-77. Retrieved from www.scopus.com
[9] Wu B., Zhu J., Najm F, "Dynamic Range Estimation". IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 25, No. 9, pp. 1618-1636, 2006
[10] S. Mallat, “A Wavelet Tour of Signal Processing”, 2nd ed. San Diego, CA: Academic, 1999.
[11] Akansu, Ali N. Haddad and Richard A., “Multiresolution signal decomposition: transforms, subbands, and wavelets‟, Boston, MA: Academic Press, ISBN 978-0-12-047141-6. 1992.
[12] Huffman, D. (1952). "A Method for the Construction of Minimum- Redundancy Codes". Proceedings of the IRE. Vol. 40, No. 9, pp.1098– 1101, doi:10.1109/JRPROC.1952.273898.
[13] Saikumar, K., & Rajesh, V. (2020). “Coronary blockage of artery for Heart diagnosis with DT Artificial Intelligence Algorithm”. International Journal of Research in Pharmaceutical Sciences, 11(1), 471-479.
[14] Dr. K. Raju, Kanisetty Swathi, P. Sampath Kumar, K. Saikumar, Mr. A. Sampath Dakshina Murthym. (2020). “Implementation of Low Power Cam Interface for Fault Tolerant Data Access Technique”. International Journal of Advanced Science and Technology, 29(06), 3435 - 3443. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/14142.
[15] Saba, S.S., Sreelakshmi, D., Sampath Kumar, P., Sai Kumar, K., Saba, S.R.( 2020) “Logistic regression machine learning algorithm on MRI brain image for fast and accurate diagnosis” International Journal of Scientific and Technology Research. VOLUME 9, ISSUE 03, MARCH 2020.
[16] Vijetha, A., Shashirekha, T., Raju, K., Rooban, S., Saikumar, K. (2020). “A robust fake currency detection model using ESVM machine learning technique”. Journal of Advanced Research in Dynamical and Control Systems 12(06), 170- 179.
[17] Raju, V & Devi, G & Sampath, A & Achanta, Sampath & Saikumar, K & Jagan, B.Omkar. (2020). “HEART DISEASES CLASSIFICATION AND FEATURE EXTRACTION BY SEGMENTATION AND MACHINE LEARNING MODEL”. 24. 8992-9001.

Keywords
video watermarking, cuckoo search, frame averaging, frame cropping