A MPEG2 Video Watermarking Algorithm Based on DCT Domain

2011 ◽  
Author(s):  
Lu Jianfeng ◽  
Yang Zhenhua ◽  
Yang Fan ◽  
Li Li
Keyword(s):  
Video Watermarking ◽  
Dct Domain ◽  
Mpeg2 Video

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.

Development of Video Watermarking for MPEG2 video

2006 ◽  
Author(s):  
Yuk Ying Chung ◽  
Fang Fei Xu ◽  
Faith Choy
Keyword(s):  
Video Watermarking ◽  
Mpeg2 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

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

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

A Blind Video Watermarking Algorithm Based on SVD in the DCT Domain

2008 ◽  
Author(s):  
Hao-Xian Wang ◽  
Zhe-Ming Lu ◽  
Sheng-He Sun ◽  
Theodore E. Simos ◽  
George Psihoyios
Keyword(s):  
Video Watermarking ◽  
Dct Domain

scholarly journals REAL-TIME VIDEO WATERMARKING FOR COPYRIGHT PROTECTION BASED ON HUMAN PERCEPTION

2012 ◽  
pp. 82-88
Author(s):  
B.SUMANA PRIYANKA ◽  
N. SAGAR
Keyword(s):  
Real Time ◽  
Copyright Protection ◽  
Color Space ◽  
Human Perception ◽  
Video Watermarking ◽  
Color Space Conversion ◽  
Dct Domain ◽  
Invisible Watermarking ◽  
Digital Tv Broadcasting ◽  
Internet Protocol Television

There is a need for real-time copyright logo insertion in emerging applications, such as Internet protocol television (IPTV). This situation arises in IP-TV and digital TV broadcasting when video residing in a server has to be broadcast by different stations and under different broadcasting rights. Embedded systems that are involved in broadcasting need to have embedded copyright protection. Existing works are targeted towards invisible watermarking, not useful for logo insertion. MPEG-4 is the mainstream exchangeable video format in the Internet today because it has higher and flexible compression rate, lower bit rate, and higher efficiency while superior visual quality.The main steps for MPEG-4 are color space conversion and sampling, DCT and its inverse (IDCT), quantization, zigzag scanning, motion estimation, and entropy coding. In this work a watermarking algorithm that performs the broadcaster's logo insertion as watermark in the DCT domain is been presented. The robustness of DCT watermarking arises from the fact that if an attack tries to remove watermarking at mid frequencies, it will risk degrading the fidelity of the image\video because some perceptive details are at mid frequencies. The suggested methods has implemented in matlab.

Spatio-Temporal Just Noticeable Distortion Model Guided Video Watermarking

2012 ◽  
pp. 66-84
Author(s):  
Yaqing Niu ◽  
Sridhar Krishnan ◽  
Qin Zhang
Keyword(s):  
Video Watermarking ◽  
Original Video ◽  
Visual Model ◽  
Visual Models ◽  
Dct Domain ◽  
Just Noticeable Distortion ◽  
Spatial Contrast Sensitivity ◽  
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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