*Robust video watermarking scheme in transform domains.
Item
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Title
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*Robust video watermarking scheme in transform domains.
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Identifier
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AAI3283145
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identifier
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3283145
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Creator
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Elbasi, Ersin.
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Contributor
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Adviser: Ahmet M. Eskicioglu
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Date
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2007
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Language
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English
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Publisher
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City University of New York.
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Subject
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Computer Science
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Abstract
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Protection of digital multimedia content has become an increasingly important issue for content owners and service providers. Watermarking is the process of embedding data into a multimedia element such as image, audio, or video. The embedded data can later be extracted from, or detected in, the multimedia for security purposes. There are several open research problems in video and audio watermarking. Reasons are as follows: (1) Large number of frames. (2) Neighbor frames similar to each other. (3) Temporal attacks.;Current image watermarking methods cannot solve all these problems. We developed a new robust video watermarking system based on Hidden Markov Model (HMM) and Artificial Neural Network (ANN). The proposed watermarking scheme splits the video sequences into Group of Pictures (GOP) with HMM. Portions of the binary watermark will be embedded into each GOP with a selected transformation domain watermarking algorithm. For each GOP, ANN produces the optimal transformation algorithm. The embedding process is the standard additive algorithm in low and high frequencies in different transformation domains. This novel system increases the robustness against all types of attacks, and increases the quality of the watermarked video.
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Type
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dissertation
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Source
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PQT Legacy CUNY.xlsx
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degree
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Ph.D.
