الفهرس 
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Abstract
This thesis concentrates on the usage of digital video watermarking techniques to protect copyrights of video files transferred through communication channel. Video watermarking techniques can be integrated into different systems such as video-on demand, broadcast monitoring, … etc. to guarantee the protection of video streams against forgery, illegal modification, reproduction or distribution.
Chapter one discusses the importance of video watermarking and how it can be used to improve multimedia security. Chapter two is divided into two parts. Part one compares between Cryptography, Steganography, Trojan horses, Easter Eggs, Fingerprinting or Labeling, Digital Signature and Digital Watermarking. Part two presents a brief history of watermarking and related terminology. It also explains the watermarking system, requirements and some applications that are related to watermarking such as Broadcast Monitoring, Proof of Ownership, Transaction Tracking (Fingerprinting), … etc. Finally, a discussion of malicious and non-malicious watermarking attacks is made.
Chapter 3 discusses more than fifteen techniques in watermarking according to different domains and embedding rule. Chapter 4 proposes a new video watermarking technique named Blind Shot-based DWT Video Watermarking Scheme with Error Correcting Code (ECC) and Genetic Matching (GM). General Framework, Genetic Matching between Watermarks and Shots, Watermark Preparation, Error correction code, Embedding Algorithm and Extraction Algorithm are described in details. Experimental results show that the proposed scheme is robust against frame DROPping, frame averaging, frame swapping and statistical analysis, and the robustness against the image processing attacks is tested with StirMark benchmark. Moreover, the fidelity of the scheme is evaluated. To conclude this work, this thesis contribute on the followings:
•A survey on current video watermarking techniques has been performed.
•Fifteen watermarking techniques have been discussed in details and compared.
•A novel blind video watermarking technique has been proposed. The proposed scheme works on the RGB video stream and it is robust against frame averaging, frame DROPping, frame swapping and statistical analysis.
•An ECC is used to refine the retrieved watermark during watermark extraction. A dedicated channel has been assigned for ECC.
•The watermark is embedded by spreading through nine different channels. This can improve the imperceptibility and capacity of the watermark.
•Different parts of the watermark are embedded into different shots. The same part of the watermark is embedded into all frames of the same shot.
•The scheme employs the GA algorithm to choose the most suitable shot for a given part of the watermark. It is proposed by Chan Pik Wah but here, a new Fitness Function has been defined. This will improve the fidelity, i.e. the media quality index of the watermarking scheme.
•The effectiveness of this scheme is verified through a number of experiments