A Robust Video Watermarking Scheme Via Temporal Segmentation and Middle Frequency Component Adaptive Modification

2006 ◽  
pp. 150-161 ◽  
Author(s):  
Liesen Yang ◽  
Zongming Guo
Keyword(s):  
Frequency Component ◽  
Video Watermarking ◽  
Temporal Segmentation ◽  
Adaptive Modification ◽  
Watermarking Scheme

scholarly journals Improving Invisibility of Blind Video Watermarking Scheme

2007 ◽  
Author(s):  
Ahmed A. Baha'a Al-Deen ◽  
Abdul Rahman Ramli ◽  
Mohammad Hamiruce Marhaban ◽  
Syamsiah Mashohor
Keyword(s):  
Video Watermarking ◽  
Watermarking Scheme

A Robust 3D Video Watermarking Scheme Based on Multi-modal Visual Redundancy

2017 ◽  
pp. 517-526
Author(s):  
Congxin Cheng ◽  
Wei Ma ◽  
Yuchen Yang ◽  
Shiyang Zhang ◽  
Mana Zheng
Keyword(s):  
3D Video ◽  
Video Watermarking ◽  
Watermarking Scheme

Spatio-Temporal Just Noticeable Distortion Model Guided Video Watermarking

2010 ◽  
Vol 2 (4) ◽  
pp. 16-36
Author(s):  
Yaqing Niu ◽  
Sridhar Krishnan ◽  
Qin Zhang
Keyword(s):  
Video Watermarking ◽  
Original Video ◽  
Temporal Modulation ◽  
Visual Model ◽  
Visual Models ◽  
Dct Domain ◽  
Just Noticeable Distortion ◽  
Spatio Temporal ◽  
Improved Performance ◽  
Watermarking Scheme

Perceptual Watermarking should take full advantage of the results from human visual system (HVS) studies. Just noticeable distortion (JND), which refers to the maximum distortion that the HVS does not perceive, gives a way to model the HVS accurately. An effective Spatio-Temporal JND model guided video watermarking scheme in DCT domain is proposed in this paper. The watermarking scheme is based on the design of an additional accurate JND visual model which incorporates spatial Contrast Sensitivity Function (CSF), temporal modulation factor, retinal velocity, luminance adaptation and contrast masking. The proposed watermarking scheme, where the JND model is fully used to determine scene-adaptive upper bounds on watermark insertion, allows providing the maximum strength transparent watermark. Experimental results confirm the improved performance of the Spatio-Temporal JND model. The authors’ Spatio-Temporal JND model is capable of yielding higher injected-watermark energy without introducing noticeable distortion to the original video sequences and outperforms the relevant existing visual models. Simulation results show that the proposed Spatio-Temporal JND model guided video watermarking scheme is more robust than other algorithms based on the relevant existing perceptual models while retaining the watermark transparency.

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