A New Embedding and Extraction Algorithms for Robust Video Watermarking in Wavelet Domain

2021 ◽  
pp. 285-299
Author(s):  
Suman Mishra ◽  
S. Poongodi ◽  
K. Karthik
Keyword(s):  
Video Watermarking ◽  
Wavelet Domain

A dynamic video watermarking algorithm in fast motion areas in the wavelet domain

2010 ◽  
Vol 55 (3) ◽  
pp. 579-600 ◽  
Author(s):  
Maher El’Arbi ◽  
Mohamed Koubaa ◽  
Maha Charfeddine ◽  
Chokri Ben Amar
Keyword(s):  
Video Watermarking ◽  
Wavelet Domain ◽  
Fast Motion

scholarly journals A Chaos- Based Video watermarking in Wavelet Domain

2015 ◽  
Vol 37 ◽  
pp. 364 ◽  
Author(s):  
Somayyeh Mohammadi
Keyword(s):  
Video Watermarking ◽  
Wavelet Domain

On Wavelet Domain Video Watermarking Techniques

2020 ◽  
pp. 65-76
Author(s):  
Rajiv Singh ◽  
Swati Nigam ◽  
Amit Kumar Singh ◽  
Mohamed Elhoseny
Keyword(s):  
Video Watermarking ◽  
Wavelet Domain

scholarly journals 2D+t Wavelet Domain Video Watermarking

2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Deepayan Bhowmik ◽  
Charith Abhayaratne
Keyword(s):  
Vector Fields ◽  
Signal To Noise Ratio ◽  
Motion Vector ◽  
Video Data ◽  
Video Watermarking ◽  
Wavelet Domain ◽  
Jpeg 2000 ◽  
Temporal Filtering ◽  
Temporal Decomposition ◽  
Direct Motion

A novel watermarking framework for scalable coded video that improves the robustness against quality scalable compression is presented in this paper. Unlike the conventional spatial-domain (t + 2D) water-marking scheme where the motion compensated temporal filtering (MCTF) is performed on the spatial frame-wise video data to decompose the video, the proposed framework applies the MCTF in the wavelet domain (2D + t) to generate the coefficients to embed the watermark. Robustness performances against scalable content adaptation, such as Motion JPEG 2000, MC-EZBC, or H.264-SVC, are reviewed for various combinations of motion compensated 2D + t + 2D using the proposed framework. The MCTF is improved by modifying the update step to follow the motion trajectory in the hierarchical temporal decomposition by using direct motion vector fields in the update step and implied motion vectors in the prediction step. The results show smaller embedding distortion in terms of both peak signal to noise ratio and flickering metrics compared to frame-by-frame video watermarking while the robustness against scalable compression is improved by using 2D + t over the conventional t + 2D domain video watermarking, particularly for blind watermarking schemes where the motion is estimated from the watermarked video.

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