Voice biometric watermarking of 3D models

Motwani, Rakhi C.; Dascalu, Sergiu M.; Harris, Frederick C.

doi:10.1109/iccet.2010.5485658

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…The transactional watermark data may include the type of license, the date and/or time of the download and when a trial period expires if there exists any. [11] …”

Section: Game Models Copyright Protectionmentioning

confidence: 97%

Using chaotic 3D watermarking for game design copy right protection

Youssef

Sheta

2012

2012 17th International Conference on Computer Games (CGAMES)

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Intellectual property will face further significant pressure to adapt in the coming years, as we make our way into the third decade of the commercial internet.Computer games deserve to be protected by copyright such as artwork, design docs, , some user interface and program structure, sequence and organization, compilations of material, music, characters and story.We survey the basics of watermarking and the history of chaos and its properties. There are many methods for chaotic sequences generation and in our proposed method we choose to use the geometry based spatial watermarking to modify the positions of vertices. The methods in this approach make changes in the position of the vertices to satisfy some requirements specially defined for each watermark bit. Our aim is to make a secure watermark that doesn't affect the quality of our 3D model in the game but still enables its full protection and traceability . The security of the watermark is based on the chaotic secret generated and embedded in the 3D model. The chaotic sequence itself has several secret keys that if not known the watermark can't be detected. Apart from the sequence security we depend on the hiding position and chosen threshold that are tailored for each model for more secrecy.

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“…The transactional watermark data may include the type of license, the date and/or time of the download and when a trial period expires if there exists any. [11] …”

Section: Game Models Copyright Protectionmentioning

confidence: 97%

Using chaotic 3D watermarking for game design copy right protection

Youssef

Sheta

2012

2012 17th International Conference on Computer Games (CGAMES)

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“…Motwani [3] proposed a method to embed voice biometric watermark in 3D models. Voice samples are directly embedded in 3D graphics.…”

Section: Related Workmentioning

confidence: 99%

“…However, human ear is much more sensitive than other sensory motors. Thus, good audio watermarking schemes are difficult to design (3). A lot of recent works have proposed solutions to this problem of copyright infringement.…”

Section: Introductionmentioning

confidence: 99%

Audio Watermarking in Digital Image Using Wavelet Transform

2016

IJMTER

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Digital watermarking is the act of hiding a message related to a digital signal (i.e. an image, song, video) within the signal itself. It is a concept closely related to steganography, in that they both hide a message inside a digital signal The rapid development in digital technologies has necessitated the owners to pay great attention in protecting their digital contents. Watermarking is used for content authentication and ownership protection. Biometric data provide unique means for individual identification. Biometric watermarking refers to the incorporation of biometric data in watermarking technology. By embedding biometrics in the host, it formulates a reliable individual identification as biometrics possesses exclusive characteristics that can be hardly counterfeited. In this paper we proposed a method of embedding owner's speech signal. Speech being a biometric data, the watermark signal in this method is expected to be more meaningful and has closer correlation with copyright holder.

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“…The results of this method show a speed-up factor of 16:1 in the case of VQ-based modeling with minor degradation in the identification accuracy, and 34:1 in the case of GMM-based modeling. (Motwani et al, 2010). A recent research presents a speaker recognition that combines a non-linear feature, named spectral dimension (SD), with MFCC.…”

Section: Speaker Recognition On Mobile Phonementioning

confidence: 99%