Protecting Ownership Rights of Videos Against Digital Piracy: An Efficient Digital Watermarking Scheme

Main Article Content

Himanshu Agarwal
Dr. Farooq Husain

Abstract

Violation of one’s intellectual ownership rights by the others is a common problem which entertainment industry frequently faces now-a-days. Sharing of information over social media platforms such as Instagram, WhatsApp and twitter without giving credit the owner causes huge financial losses to the owner and hence needs an immediate attention. Digital watermarking is a promising technique to protect owners’ right against digital piracy. Most of the state-of-the-art techniques does not provides adequate level of resilience against majority of video specific attacks and other commonly applied attacks. Therefore, this paper proposes a highly transparent and robust video watermarking solution to protect the owners rights by first convert each video frame into YCbCr color components and then select twenty five strongest speeded-up robust features (SURF) points of the normalized luminance component as points for both watermark embedding and extraction. After applying variety of geometric, simple signal processing and video specific attacks on the watermarked video meticulous analysis is performed using popular metrics which reveals that the proposed scheme possesses high correlation value which makes it superior for practical applications against these attacks. The scheme also proposes a novel three-level impairment scale for subjective analysis which gives stable results to derive correct conclusions.

Article Details

How to Cite
Agarwal, H., & Husain, D. F. (2022). Protecting Ownership Rights of Videos Against Digital Piracy: An Efficient Digital Watermarking Scheme. International Journal of Communication Networks and Information Security (IJCNIS), 13(2). https://doi.org/10.17762/ijcnis.v13i2.4945 (Original work published August 26, 2021)
Section
Research Articles
Author Biographies

Himanshu Agarwal, Moradabad Institute of Technology, Moradabad

Computer Science and Engineering, Asst. Professor

Dr. Farooq Husain, Shivdan Singh Institute of Management and Technology, Aligarh, India

Director