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What is digital video watermarking?

An exhaustive list of digital watermarking applications is of course impossible. However, it is interesting to note the increasing interest in fragile watermarking technologies. Especially promising are applications related to copy protection of printed media. Examples here include the protection of bills with digital watermarks. Various companies have projects in this direction and it is very likely that fully functioning solutions will soon be available.

And the official answer is... "nothing." The original initialism came from "digital video disc." Some members of the DVD Forum (see ) tried to express how DVD goes far beyond video by retrofitting the painfully contorted phrase "digital versatile disc," but this has never been officially accepted by the DVD Forum as a whole. A report from DVD Forum Steering Committee in 1999 decreed that DVD, as an international standard, is simply three letters. Nevertheless, Toshibathe maintainer of the DVD Forum Web site still confusingly prefers "digital video disc." And after all, how many people ask what VHS stands for? (Guess what? No one agrees on that one either.)

Digital watermarking also allows to link information on documents.

In addition, the watermarked audio has very high perceptual quality.

A novel approach is proposed for robust audio water-marking in wavelet domain.

Abstract- With the development of internet, illegal copying problem has become more serious and thus made digital watermarking enters as an important role to handle and deal such a critical issue.

Thus watermarked IMF is less sensitive to common signal processing attacks like such as additive noise, low pass filtering, re-sampling, re-quantization, MP3 compression, and sound processing effects etc.

The watermark extracting method is a blind method.

AB - Spread-spectrum watermarking scheme adds random noise w into the host signal x to generate watermarked signal s. Blind detector computes inner product 〈w, s〉 or its variants (i.e., correlation) and decides if the host signal contains embedded bits or not by its sign of the inner product. Such detection method may not be sufficiently robust in some applications due to high false-positive or false-negative rate. This paper introduces a novel method to reduce detection errors considerably by excluding outliers in the signal. First, this paper identifies the usefulness of the outliers. Second, this paper identifies the problem of outliers. Due to the vague definition of outlier, it was impossible to draw unique criterion for outlier. Thus, third, stable and robust definition of outlier is adopted. Informed watermarking scheme for spread-spectrum is exploited to reduce false-positive and false-negative errors. Such detectors can also enhance detection rate in other watermarking schemes. This scheme can enhance robustness of image watermarking and audio watermarking as well.

The modification is based on real-time changes of the water-mark information and host audio.

There are a number of possible applications for digital watermarking technologies and this number is increasing rapidly. For example, in the field of data security, watermarks may be used for certification, authentication, and conditional access. Certification is an important issue for official documents, such as identity cards or passports.

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T1 - A robust audio watermarking scheme


After that, watermarks are extracted from the modified signal.

The proposed watermarking system allows the data owner to define a similarity function in order to reduce the distortion caused by watermark embedding while, at the same time, reducing the number of element modifications needed by the embedding process.

Malvar, "Spread-spectrum watermarking of audio signals," IEEE Trans.

The proposed watermarking system allows the data owner to define a similarity function in order to reduce the distortion caused by watermark embedding while, at the same time, reducing the number of eleme ..."

Tewfik, "Audio watermarking by time-scale modification,"in Proc.

N2 - Spread-spectrum watermarking scheme adds random noise w into the host signal x to generate watermarked signal s. Blind detector computes inner product 〈w, s〉 or its variants (i.e., correlation) and decides if the host signal contains embedded bits or not by its sign of the inner product. Such detection method may not be sufficiently robust in some applications due to high false-positive or false-negative rate. This paper introduces a novel method to reduce detection errors considerably by excluding outliers in the signal. First, this paper identifies the usefulness of the outliers. Second, this paper identifies the problem of outliers. Due to the vague definition of outlier, it was impossible to draw unique criterion for outlier. Thus, third, stable and robust definition of outlier is adopted. Informed watermarking scheme for spread-spectrum is exploited to reduce false-positive and false-negative errors. Such detectors can also enhance detection rate in other watermarking schemes. This scheme can enhance robustness of image watermarking and audio watermarking as well.

Arnold, "Audio Watermarking: Features, Applications and Algorithms".

Spread-spectrum watermarking scheme adds random noise w into the host signal x to generate watermarked signal s. Blind detector computes inner product 〈w, s〉 or its variants (i.e., correlation) and decides if the host signal contains embedded bits or not by its sign of the inner product. Such detection method may not be sufficiently robust in some applications due to high false-positive or false-negative rate. This paper introduces a novel method to reduce detection errors considerably by excluding outliers in the signal. First, this paper identifies the usefulness of the outliers. Second, this paper identifies the problem of outliers. Due to the vague definition of outlier, it was impossible to draw unique criterion for outlier. Thus, third, stable and robust definition of outlier is adopted. Informed watermarking scheme for spread-spectrum is exploited to reduce false-positive and false-negative errors. Such detectors can also enhance detection rate in other watermarking schemes. This scheme can enhance robustness of image watermarking and audio watermarking as well.

Kalker , Digital Water-marking and Steganography.

Therefore, reversible watermarking can be regarded as an effective method to ensure the integrity of audio data in the applications requiring high-confidential audio contents.

Watermarking - IEEE Conferences, Publications, and …

AB - This paper presents the Modified Patchwork Algorithm (MPA), a statistical technique for audio watermarking algorithm in the transform (not only Discrete Cosine Transform (DCT), but also DFT and DWT) domain. The MPA is an enhanced version of the conventional patchwork algorithm. The MPA is sufficiently robust to withstand some attacks defined by Secure Digital Music Initiative (SDMI). Experimental results show that the proposed watermarking algorithm is sustainable against compression algorithms such as MP3 and AAC, as well as common signal processing manipulation attacks.

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