Adaptive Video Watermarking Utilizing Video Characteristics in 3D-DCT Domain

Author(s):  
Hyun Park ◽  
Sung Hyun Lee ◽  
Young Shik Moon



2010 ◽  
Vol 9 (7) ◽  
pp. 1409-1414 ◽  
Author(s):  
A.A. Abdulfetah ◽  
X. Sun ◽  
H. Yang


2010 ◽  
Vol 2 (4) ◽  
pp. 16-36
Author(s):  
Yaqing Niu ◽  
Sridhar Krishnan ◽  
Qin Zhang

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.



2011 ◽  
Vol 179-180 ◽  
pp. 103-108
Author(s):  
Sheng Bing Che ◽  
Jin Kai Luo ◽  
Bin Ma

A quasi-blind adaptive video watermarking algorithm in uncompressed video wavelet domain based on human visual system is proposed in this paper. This algorithm established a visual model according to the human visual masking and the characteristics of wavelet coefficients. It did not require the scene segmentation of the video, choosing the video frames which used for embedding watermarking by the key, and embedding different watermarking which processed by Arnold scrambling into different frame, so it is robust to statistical analysis, frame crop and so on. To ensure the spatial synchrony when extracting the watermark information, zero-watermarking method and chaotic system are used to generate the synchronization information. The quantized central limit theorem is applied to adjust the low frequency coefficients, it makes the extracted watermark information keeps invariant when its element value changed in robust region. A new correlation detection method of watermarking information was put forward. Watermark detection does not require original video. It realized the quasi-blind watermark detection.



2000 ◽  
Author(s):  
Choong-Hoon Lee ◽  
HwangSeok Oh ◽  
Heung-Kyu Lee




2013 ◽  
Vol 73 (3) ◽  
pp. 1545-1573 ◽  
Author(s):  
Sherin M. Youssef ◽  
Ahmed Abou ElFarag ◽  
Noha M. Ghatwary


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