&lt;title&gt;Video watermarking system for broadcast monitoring&lt;/title&gt;

Kalker, Ton; Depovere, G.; Haitsma, Jaap; Maes, M.

doi:10.1117/12.344661

Cited by 178 publications

(104 citation statements)

References 8 publications

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“…This follows very roughly the eye's behavior, but no precise theoretical model sustains this choice. This algorithm is very fast and experimental results are satisfactory as noted in [11].…”

Section: Human Visual System Modulation Sequencementioning

confidence: 66%

“…It means that it has to find the delay t k for a given content r k , calculating as many correlation as the number of possible delays. Ton Kalker and al [11] give a very efficient and nice implementation of this method. Nethertheless, I.J.…”

Section: Security Point Of Viewmentioning

confidence: 99%

“…Add a filtered pseudorandom sequence w as long as the sequence x, or use a shorter pseudo-random sequence that one repeats several times before adding it to the sequence x. This last choice is usually made in classical spread spectrum technique [11]; to detect the watermark, the received sequence r is then averaged. Hence, the watermark to cover-content power ratio is increased leading to a better false alarm probability.…”

Section: Role Of the Length Of Sequencesmentioning

confidence: 99%

“…But, 'stealing' the secret key is not the only way to achieve pirate's aim. One can try to estimate the sequence v via an average process of T different watermarked contents via formula (11).…”

Section: Security Point Of Viewmentioning

confidence: 99%

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An Asymmetric Public Detection Watermarking Technique

Furon

Duhamel

2000

Information Hiding

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Abstract. The new watermarking technique 1 presented in this paper is an example of an asymmetric public detection scheme. The detection process does not need the original picture nor the secret key used in the embedding process. It is the translation, in the watermarking domain, of a public key pair cryptosystem. The key idea is to filter the pseudo-noise sequence before embedding it in the cover-content. Contrary to classical techniques, the heart of the detection algorithm is not a correlation measure but a consistent statistical test hypothesis in spectral analysis. Some signal based considerations show that knowing the public key used in the detection process is no use for pirate who wants to discover the secret key. An example of a copyright protection system for digital content using this technique is briefly described.

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Section: Human Visual System Modulation Sequencementioning

confidence: 66%

Section: Security Point Of Viewmentioning

confidence: 99%

Section: Role Of the Length Of Sequencesmentioning

confidence: 99%

Section: Security Point Of Viewmentioning

confidence: 99%

See 2 more Smart Citations

An Asymmetric Public Detection Watermarking Technique

Furon

Duhamel

2000

Information Hiding

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“…In this method, only four frames are used for wavelet decomposition per frame with lower memory bands and robustness against geometrical attacks. Kalker developed a method named JAWS (Just Another Watermarking System) for broadcast monitoring applications [9]. They use the spatial domain which essentially compresses and un-compresses the video.…”

Section: B) Inter-frame Wavelet Transformmentioning

confidence: 99%

Robust Digital Video Watermarking using Reversible Data Hiding and Visual Cryptography

Kumar¹,

Hensman²

2013

24th IET Irish Signals and Systems Conference (ISSC 2013)

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Towards the semantic extraction of digital signatures for librarian image‐identification purposes

Poulos

Bokos

Vaioulis

2008

J. Am. Soc. Inf. Sci.

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In study we attempt to solve the problem of determining how authentic published images on the Internet are, and to what degree they may be identified by comparison to the original image. The technique proposed aims to serve the new requirements of libraries. One of these is the development of computational tools for the control and preservation of intellectual property such as digital objects, and especially of digital images. For this purpose, this article proposes the use of a serial number extracted using a previously tested semantic-properties method. This method, based on the multilayers of a set of arithmetic points, assures the following two properties: the uniqueness of the final extracted number, and the semantic dependence of this number on the image used as the method's input. The major advantage of this method is that it can serve as the authentication for a published image or detect partial modifications to a reliable degree. Also, it requires the better of the known hash functions that the digital-signature schemes use, and produces alphanumeric strings for checking authenticity and the degree of similarity between an unknown image and an original image. As an example of a possible application, this article suggests that this method could be incorporated into the well-known DOI system in order to provide a reliable tool for identification and comparison of digital images.

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<title>Video watermarking system for broadcast monitoring</title>

Cited by 178 publications

References 8 publications

An Asymmetric Public Detection Watermarking Technique

An Asymmetric Public Detection Watermarking Technique

Robust Digital Video Watermarking using Reversible Data Hiding and Visual Cryptography

Towards the semantic extraction of digital signatures for librarian image‐identification purposes

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