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

2006 ◽  
pp. 397-406 ◽  
Author(s):  
Hyun Park ◽  
Sung Hyun Lee ◽  
Young Shik Moon
Keyword(s):  
Video Watermarking ◽  
Dct Domain ◽  
Adaptive Video

An adaptive video watermarking technique based on DCT domain

2008 ◽  
Author(s):  
Cheng-Han Yang ◽  
Hui-Yu Huang ◽  
Wen-Hsing Hsu
Keyword(s):  
Video Watermarking ◽  
Dct Domain ◽  
Adaptive Video

Robust Adaptive Video Watermarking Scheme using Visual models in DWT domain

2010 ◽  
Vol 9 (7) ◽  
pp. 1409-1414 ◽  
Author(s):  
A.A. Abdulfetah ◽  
X. Sun ◽  
H. Yang
Keyword(s):  
Video Watermarking ◽  
Visual Models ◽  
Adaptive Video ◽  
Robust Adaptive ◽  
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.

Quasi-Blind Adaptive Video Watermarking Algorithm Based on Human Visual System

2011 ◽  
Vol 179-180 ◽  
pp. 103-108
Author(s):  
Sheng Bing Che ◽  
Jin Kai Luo ◽  
Bin Ma
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Visual Masking ◽  
Low Frequency ◽  
Video Watermarking ◽  
Original Video ◽  
Video Frames ◽  
Adaptive Video ◽  
Blind Adaptive ◽  
Zero Watermarking

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.

Adaptive video watermarking using motion information

2000 ◽  
Author(s):  
Choong-Hoon Lee ◽  
HwangSeok Oh ◽  
Heung-Kyu Lee
Keyword(s):  
Video Watermarking ◽  
Motion Information ◽  
Adaptive Video

A Secure Video Watermarking Approach Using CRT Theorem in DCT Domain

2018 ◽  
pp. 597-606 ◽  
Author(s):  
Amir M. U. Wagdarikar ◽  
Ranjan K. Senapati ◽  
Sushmita Ekkeli
Keyword(s):  
Video Watermarking ◽  
Dct Domain

Adaptive video watermarking integrating a fuzzy wavelet-based human visual system perceptual model

2013 ◽  
Vol 73 (3) ◽  
pp. 1545-1573 ◽  
Author(s):  
Sherin M. Youssef ◽  
Ahmed Abou ElFarag ◽  
Noha M. Ghatwary
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Video Watermarking ◽  
Perceptual Model ◽  
Adaptive Video
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