The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform
Ioannis Pitas - One of the best experts on this subject based on the ideXlab platform.
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robust audio watermarking in the time domain
IEEE Transactions on Multimedia, 2001Co-Authors: Paraskevi Bassia, Ioannis Pitas, Nikos NikolaidisAbstract:The audio watermarking method proposed in this paper offers Copyright protection to an audio signal by time domain processing. The strength of audio signal modifications is limited by the necessity to produce an output signal that is perceptually similar to the original one. The watermarking method presented here does not require the use of the original signal for watermark detection. The watermark signal is generated using a key, i.e., a single number known only to the Copyright Owner. Watermark embedding depends on the audio signal amplitude and frequency in a way that minimizes the audibility of the watermark signal. The embedded watermark is robust to common audio signal manipulations like MPEG audio coding, cropping, time shifting, filtering, resampling, and requantization.
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robust audio watermarking in the time domain
European Signal Processing Conference, 1998Co-Authors: P. Bossia, Ioannis PitasAbstract:The audio watermarking method presented below offers Copyright protection to an audio signal by modifying its temporal characteristics. The amount of modification embedded is limited by the necessity that the output signal must not be perceptually different from the original one. The watermarking method presented here does not require the original signal for watermark detection. The watermark key is simply a seed known only by the Copyright Owner. This seed creates the watermark signal to be embedded. Watermark embedding depends also on the audio signal amplitude in a way that minimizes the audibility of the watermark signal. The embedded watermark is robust to MPEG audio coding, filtering, resampling and requantization.
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applications of toral automorphisms in image watermarking
International Conference on Image Processing, 1996Co-Authors: G Voyatzis, Ioannis PitasAbstract:Digital watermarking methods have been proposed for various purposes and especially for Copyright protection of multimedia data. The digital watermark is embedded in a digital signal or an image and must be unrecognizable by unauthorized persons and detectable only by the legal Copyright Owner. We use toral automorphisms as chaotic 2-D integer vector generators in order to manipulate digital image watermarking. We propose also an embedding algorithm which provides robustness under filtering and compression.
Nikos Nikolaidis - One of the best experts on this subject based on the ideXlab platform.
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robust audio watermarking in the time domain
IEEE Transactions on Multimedia, 2001Co-Authors: Paraskevi Bassia, Ioannis Pitas, Nikos NikolaidisAbstract:The audio watermarking method proposed in this paper offers Copyright protection to an audio signal by time domain processing. The strength of audio signal modifications is limited by the necessity to produce an output signal that is perceptually similar to the original one. The watermarking method presented here does not require the use of the original signal for watermark detection. The watermark signal is generated using a key, i.e., a single number known only to the Copyright Owner. Watermark embedding depends on the audio signal amplitude and frequency in a way that minimizes the audibility of the watermark signal. The embedded watermark is robust to common audio signal manipulations like MPEG audio coding, cropping, time shifting, filtering, resampling, and requantization.
Paraskevi Bassia - One of the best experts on this subject based on the ideXlab platform.
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robust audio watermarking in the time domain
IEEE Transactions on Multimedia, 2001Co-Authors: Paraskevi Bassia, Ioannis Pitas, Nikos NikolaidisAbstract:The audio watermarking method proposed in this paper offers Copyright protection to an audio signal by time domain processing. The strength of audio signal modifications is limited by the necessity to produce an output signal that is perceptually similar to the original one. The watermarking method presented here does not require the use of the original signal for watermark detection. The watermark signal is generated using a key, i.e., a single number known only to the Copyright Owner. Watermark embedding depends on the audio signal amplitude and frequency in a way that minimizes the audibility of the watermark signal. The embedded watermark is robust to common audio signal manipulations like MPEG audio coding, cropping, time shifting, filtering, resampling, and requantization.
P. Bossia - One of the best experts on this subject based on the ideXlab platform.
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robust audio watermarking in the time domain
European Signal Processing Conference, 1998Co-Authors: P. Bossia, Ioannis PitasAbstract:The audio watermarking method presented below offers Copyright protection to an audio signal by modifying its temporal characteristics. The amount of modification embedded is limited by the necessity that the output signal must not be perceptually different from the original one. The watermarking method presented here does not require the original signal for watermark detection. The watermark key is simply a seed known only by the Copyright Owner. This seed creates the watermark signal to be embedded. Watermark embedding depends also on the audio signal amplitude in a way that minimizes the audibility of the watermark signal. The embedded watermark is robust to MPEG audio coding, filtering, resampling and requantization.
Hirotsugu Kinoshita - One of the best experts on this subject based on the ideXlab platform.
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design scheme of Copyright management system based on digital watermarking and blockchain
Computer Software and Applications Conference, 2018Co-Authors: Zhaoxiong Meng, Tetsuya Morizumi, Sumiko Miyata, Hirotsugu KinoshitaAbstract:In the past, the improvement of digital Copyright protection system based on digital watermarking mainly focused on algorithms, while generation and storage of the watermark information was ignored. In this paper, a new design scheme of Copyright management system based on digital watermarking and its information, such as blockchain, is proposed, which combines digital watermarking, blockchain, perceptual hash function, Quick Response(QR) code, and InterPlanetary File System(IPFS). Among them, blockchain is used to securely store watermark information and provide timestamp authentication for multiple watermarks (multiple Copyrights) to confirm the creation order. Perceptual hash function is used to generate hash value based on the structure information of images, that watermark information can be confirmed without the original image. QR code is used to generate QR code images containing image hash and Copyright information as watermark images to improve robustness and capacity of digital watermarking; IPFS is used to store and distribute watermarked images without a centralized server. This scheme can enhance the effectiveness of digital watermarking technology in the field of Copyright protection. In this way, use P2P network to integrate and complete Copyright management and distribution of Copyrighted works without requiring a trusted third party. Nodes rely on cryptography to confirm the identity of each other and ensure the security of information. It can reduce information leakage, data destruction and other risks caused by collapse of the centralized system in the past. This improves the security and transparency of information, and speeds up the distribution of Copyrighted works to facilitate circulation in the network. This scheme can also improve Copyright protection of multiple creations. Combine blockchain and multiple digital watermarks to record Copyright information of every Copyright Owner in the authoring process and fully prove this information. In order to protect the legitimate rights and interests of each Copyright Owner.