Improved Video Watermark Detection Using Statistically-Adaptive Accumulation

2005 ◽  
pp. 300-308
Author(s):  
Isao Echizen ◽  
Yasuhiro Fujii ◽  
Takaaki Yamada ◽  
Satoru Tezuka ◽  
Hiroshi Yoshiura
Keyword(s):  
Video Watermark

scholarly journals FCM-Based Approach for Locating Visible Video Watermarks

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 339 ◽  
Author(s):  
A. Al. Embaby ◽  
Mohamed A. Wahby Shalaby ◽  
Khaled Mostafa Elsayed
Keyword(s):  
Digital Watermarking ◽  
Computational Cost ◽  
High Standard ◽  
High Symmetry ◽  
Major Step ◽  
Fuzzy C Means ◽  
Video Frames ◽  
Video Watermark ◽  
Visible Watermark ◽  
Two Stages

The increased usage demand for digital multimedia has induced significant challenges regarding copyright protection, which is the copy control and proof of ownership. Digital watermarking serves as a solution to these kinds of problems. Among different types of digital watermarking, visible watermarking protects the copyrights effectively, since the approach not only prevents pirates but also visually proves the copyright of the broadcasted video. A visible watermark could be in any location on the frame (corner, center, diagonal, etc.). In addition, it could either completely or partially disappear for some frames. The same video also might have multiple watermarks. In order to strengthen the techniques of adding visible watermarks, there is a need to discover the weakness of the used watermarks. Since the major step of attacking a visible watermark is to locate it accurately, in this paper, a Fuzzy C-Means (FCM)-based approach is proposed to locate visible watermarks in video. Broadcasting channels are used to utilize video logos, which can be considered as a form of visible watermark that represents a trademark or symbol to declare the intellectual property ownership. In general, a high-standard video watermark has such properties as a clear background with distinctive shape without additional texture obscuring the watermark area. In addition, the probability of the logo appearing in the four corners of the video frames is higher than in the center. Based on these common properties of the video watermark, the proposed scheme locates the visible watermark using the Fuzzy C-Means technique without any prior information. The proposed technique has two stages: the first stage is positioning, and the second is masking (extracting the watermark mask). Due to real-world limitations such as noise, shadowing, and variations in cameras, the positioning stage is developed by employing gradient and Fuzzy C-Means classifier techniques. By using the dilation and erosion operators, the masking stage is developed to extract the watermark mask. Using a set of trademark videos, the proposed algorithm is tested and evaluated. A comparative study shows that the proposed FCM-based technique is able to achieve higher accuracy at a reasonable computational cost in comparison to the most related and recent published work. The proposed technique could locate different watermarks with high symmetry in their pattern, even if they appeared mutually in the same location. Still, it will be a challenge if the symmetry is low between used watermarks in the same location.

scholarly journals A high-capacity block based video watermark

2004 ◽  
Author(s):  
S. Thiemert ◽  
T. Vogel ◽  
J. Dittmann ◽  
M. Steinebach
Keyword(s):  
High Capacity ◽  
Video Watermark ◽  
Block Based

Real-time detection of video watermark on Intel architecture

2000 ◽  
Author(s):  
Yen-Kuang Chen ◽  
Matthew J. Holliman ◽  
William W. Macy ◽  
Minerva M. Yeung
Keyword(s):  
Real Time ◽  
Video Watermark ◽  
Real Time Detection

scholarly journals Real-time Digital Video Watermark Embedding System based on Software in Commodity PC

2006 ◽  
Vol 126 (9) ◽  
pp. 1127-1137
Author(s):  
Takaaki Yamada ◽  
Isao Echizen ◽  
Satoru Tezuka ◽  
Hiroshi Yoshiura
Keyword(s):  
Real Time ◽  
Digital Video ◽  
Video Watermark ◽  
Watermark Embedding

Watermarking on Compressed/Uncompressed Video Using Communications with Side Information Mechanism

2002 ◽  
pp. 173-189 ◽  
Author(s):  
Chun-Shien Lu ◽  
Hong-Yuan Mark Liao ◽  
Jan-Ru Chen ◽  
Kuo-Chin Fan
Keyword(s):  
Copyright Protection ◽  
Side Information ◽  
Video Watermarking ◽  
Digital Data ◽  
3D Objects ◽  
Advantages And Disadvantages ◽  
Video Watermark ◽  
Audio Video ◽  
Future Work ◽  
Watermarking Scheme

Digital watermarking has been proposed as very useful technology in the protection of digital data such as image, audio, video, formatted documents (PDF or PS), and 3D objects. In the literature, most of the existing watermarking approaches are conducted on images. However, video is even more useful and should be protected with higher priority. In particular, video sequences usually contain rich properties that images do not have. On the other hand, the types of attacks applied on a video are much different from those applied on an image. In this chapter, we will focus ourselves specifically on video watermarking. The content of this chapter is divided into two parts. In the first part, the existing video watermarking techniques are briefly reviewed. We have pointed out their advantages and disadvantages to realize what can be done about video watermarking. In the second part, we propose a compressed domain video watermarking scheme for copyright protection. For the sake of real-time video watermark detection, our method is directly conducted in the MPEG-2 bitstream. More specifically, watermarks are inserted into the VLC domain. We shall discuss how to select proper data in a video bitstream to embed watermarks while preserving perceptual fidelity. In addition, video watermarks are embedded by a new proposed watermarking technique, which is based on the concept of communications with side information. The power of our method is reflected by its robust capability against attacks. Future work will also be pointed out to further improve the current scheme

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