A New Robust Video Watermarking Technique Using H.264/AAC Codec Luma Components Based On DCT
Abstract & Details
Research Area
NETWORK SECURITY
Keywords
Watermark
video watermarking
video frames
frequency domain etc….
Abstract
Video watermarking is well known as the process of embedding copy right information in video bit streams. It had
been proposed in recent years to solve the problem of illegal manipulation and distribution of digital video. In this
study, an effective, robust DCT transform using MATLAB. In the proposed method, first the video frames are
extracted from the host video. Then, each frame gets watermarked with multi-level discrete cosine transform which
is also known as embedding. After that each watermarked video frame gets reconstructed. Watermarked video is
obtained after reconstruction of watermarked video frame. Experimental results shows that the proposed algorithm
is imperceptible as well as robust against wide variety of signal and video processing attacks like Gaussian noise,
cropping, geometric attack, , over writing etc. The technique is fairly acceptable and watermarked video is of good
quality, achieves high PSNR and other results.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Nazia Azim | Department of Computer Science,Bacha Khan University Charsadda, Khyber Pakhtunkhwa, Pakistan |
| 2 | Iftikhar Ahmad | Department of Computer Science, Abdul Wali Khan University Charsadda, Khyber Pakhtunkhwa, Pakistan |
| 3 | Syed Roohullah Jan | Department of Computer Science, Abdul Wali Khan University Charsadda, Khyber Pakhtunkhwa, Pakistan |
| 4 | Muhammad Tahir | Department of Computer Science, Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan |
| 5 | Farman Ullah | Department Of Computer Science, Bacha Khan University, Charsadda, KPK, Pakistan |
| 6 | Fazlullah Khan | Department of Computer Science, Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Azim, Nazia, Ahmad, Iftikhar, Jan, Syed Roohullah, Tahir, Muhammad, Ullah, Farman, & Khan, Fazlullah (2016). A New Robust Video Watermarking Technique Using H.264/AAC Codec Luma Components Based On DCT. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 129-139.
MLA Style
Azim, Nazia, et al. "A New Robust Video Watermarking Technique Using H.264/AAC Codec Luma Components Based On DCT." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 129-139.
IEEE Style
Nazia Azim, Iftikhar Ahmad, Syed Roohullah Jan, Muhammad Tahir, Farman Ullah, and Fazlullah Khan, "A New Robust Video Watermarking Technique Using H.264/AAC Codec Luma Components Based On DCT," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 129-139, 2016.
Vancouver Style
Azim Nazia, Ahmad Iftikhar, Jan Syed Roohullah, Tahir Muhammad, Ullah Farman, Khan Fazlullah. A New Robust Video Watermarking Technique Using H.264/AAC Codec Luma Components Based On DCT. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):129-139.
Harvard Style
Azim, Nazia, Ahmad, Iftikhar, Jan, Syed Roohullah, Tahir, Muhammad, Ullah, Farman, & Khan, Fazlullah (2016) 'A New Robust Video Watermarking Technique Using H.264/AAC Codec Luma Components Based On DCT', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 129-139.
Chicago Style
Azim, Nazia, et al. "A New Robust Video Watermarking Technique Using H.264/AAC Codec Luma Components Based On DCT." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 129-139.
Turabian Style
Azim, Nazia, et al. "A New Robust Video Watermarking Technique Using H.264/AAC Codec Luma Components Based On DCT." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 129-139.
Related Research
Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
PDF Unavailable
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
PDF Unavailable
Civic Engagement & Empowerment Platform
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
PDF Unavailable
Employee Performance Portal
PDF Unavailable