Source tracking different recipients get differently watermarked content Broadcast monitoring television news often contains watermarked video from international agencies Video authentication Software crippling on screencasting and video editing software programs, to encourage users to purchase the full version to remove it. Content management on social networks  Digital watermarking life-cycle phases[ edit ] General digital watermark life-cycle phases with embedding- attacking- and detection and retrieval functions The information to be embedded in a signal is called a digital watermark, although in some contexts the phrase digital watermark means the difference between the watermarked signal and the cover signal. The signal where the watermark is to be embedded is called the host signal. A watermarking system is usually divided into three distinct steps, embedding, attack, and detection.
Abstract—In this paper, an innovative watermarking scheme for audio signal based on genetic algorithms GA in the discrete wavelet transforms is proposed. It is robust against watermarking attacks, which are commonly employed in literature. In addition, the watermarked image quality is also conside In addition, the watermarked image quality is also considered.
We employ GA for the optimal localization and intensity of watermark.
The watermark detection process can be performed without using the original audio signal. The experimental results demonstrate that watermark is inaudible and robust to many digital signal processing, such as cropping, low pass filter, additive noise. In audio watermarking embedding firstly, the audio convert signal was divided evenly, the audio segments were selected from the divided audio, then by doing the DWT and DCT embedded In audio watermarking embedding firstly, the audio convert signal was divided evenly, the audio segments were selected from the divided audio, then by doing the DWT and DCT embedded the watermark to the low frequency coefficients of those audio segments which were selected.
Watermark is a binary image which was transformed using Arnold transformations. A random private key is used during watermark embedding for more security. Finally, all of the audio segments were regrouped. Experimental results demonstrate that the watermark is inaudible and this algorithm is robust to common operations of digital audio signal processing, such as white gaussian noise addition, compression and low pass filtering.
To evaluate the performance of the proposed audio watermarking method, subjective and objective quality tests including unknown title by unknown authors" This paper describes our design of a contents distribution framework that supports transparent distribution of digital contents on the Internet as well as copyright protection of participants in the contents distribution value chain.
Copyright protection must ensure that participants in the distribu Copyright protection must ensure that participants in the distribution channel get the royalties due to them and that purchasers use the contents according to usage rules.
It must also prevent illegal draining of digital contents. To design a contents distribution framework satisfying the above requirements, we first present four digital contents distribution models.
On the basis of the suggested distribution models, we designed a contract system for distribution of royalties among participants in the contents distribution channel, a license mechanism for enforcement of contents usage to purchasers, and both a packaging mechanism and a secure client system for prevention of illegal draining of digital contents.
Show Context Citation Context Enables the purchaser to playscontents according to the usage rules in the license andsprotects contents themselves from illegal attacks.
Chi-Man Pun, by Jing-jing Jiang " This paper presents a Key-Selective Patchwork Algorithm for audio watermarking. Two special subsets of the host signal features were selected to embed the watermark signal, adding a small constant value to one subset and subtracting the same to another patch.
The method is based on wavelet domain an The method is based on wavelet domain and the watermark signals were embedded in approximation coefficients.
In order to control the inaudibility of watermark insertion we try to use various constant values and select the optimal one to guarantee a desired quality for the watermarked audio signal. Simulation results show that Key-Selective Patch Method is robust against various common attacks such as filtering, resample and so on.
In order to embed more water mark information to the audio signalsunder the two constrain of inaudibility an robustness, Seok et al. Portable devices and wireless connections are creating a new scenario in which digital information is entering our lives in a massive way.Vol.7, No.3, May, Mathematical and Natural Sciences.
Study on Bilinear Scheme and Application to Three-dimensional Convective Equation (Itaru Hataue and Yosuke Matsuda). The paper contains a brief overview of modern methods for embedding additional data in audio signals for the purposes of access control or forensic tracking. Complete Digital HDTV, LCD, DRM, Audio & TiVo Info.
recent watermarking research papers digital watermarking This technique can be applied to audio, video, text or images. This paper surveys the features and concepts pertaining to the various watermarking Digital Watermarking of an Audio Signal Using an Image free download.
In this paper, we discuss the audio watermark embedding based on the human auditory characters using the wavelet and cepstrum transform, and propose a novel watermark embedding algorithm to embed binary image watermarks into original audio signal.
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Presentation Date; Sabah Mazhir, Aiyah Noori, Alyaa Hussein and Hazm Ismail.