Performance Evaluation of Multiple Watermarks System

Wang, Dawei; Li, Sikun; Zhao, Peng

doi:10.1109/dmamh.2007.84

Cited by 6 publications

(5 citation statements)

References 24 publications

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“…Judging from the analysis and experiments of robustness, capacity, distortion, and security, in type one, the multiwatermarking should be comprehensively used from the above mentioned four aspects. That is, if the robustness is improved with the number of the multiwatermarking increasing, the capacity will be increased, but the bit error rate will be increased according to , the distortion will be increased, and the security will be degraded. If the distortion is decreased, the number of the multiwatermarking will be decreased and then the robustness will be weaken, the capacity will be decreased and the security will be improved.…”

Section: Experiments and Evaluationmentioning

confidence: 99%

“…However, it is not the true multiwatermarking. In , the authors evaluated the performance of the multiple watermarking, but they only focused on the watermark's capacity. In , the watermark's security against estimation attacks is investigated, including collusion attack and copy attack.…”

Section: Introductionmentioning

confidence: 99%

“…Some comparative experiments are performed, and results are given to show the validity of these theoretical analysis.according to the Rao test. In [6], the selective correlation detector of the additive spread spectrum watermark is proposed, which uses the partial watermark sequence rather than the whole one.According to the number of watermarks to be embedded, the watermarking algorithm can be classified into the single watermarking [4-6] and the multiple watermarking (multiwatermarking) [10][11][12][13]. At present, most of the works focus on the single watermark embedding rule.…”

mentioning

confidence: 99%

“…For the unauthorized one, multiple watermarks are embedded into the watermarking cover to cause the ambiguity. In [11], the authors only analyzed the watermark's capacity of the authorized one. In this paper, the multiwatermarking will be analyzed with respect to the robustness, capacity, distortion, and security of both the authorized and unauthorized ones.Recently, the cloud-based platform [17][18][19][20][21][22] becomes popular for media content sharing.…”

mentioning

confidence: 99%

“…According to the number of watermarks to be embedded, the watermarking algorithm can be classified into the single watermarking [4-6] and the multiple watermarking (multiwatermarking) [10][11][12][13]. At present, most of the works focus on the single watermark embedding rule.…”

mentioning

confidence: 99%

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On multiwatermarking in cloud environment

Wang

Lian

2011

Concurrency and Computation

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SUMMARY Multiwatermarking is the technique to embed multiple messages into the same media content. It can be used to identify media content's owners or trace the illegal redistributors in media distribution. Especially in cloud environment with multiple content providers or users, multiwatermarking may have potential applications. However, some performances of multiple watermark embedding, for example, the distortion and security, are not considered. In this paper, the application scenarios of multiwatermarking in cloud environment are figured out, which investigate the secure media distribution models suitable for cloud‐based platform. Additionally, the multiwatermarking based on additive rule is studied and then analyzed theoretically from two aspects, one of which is the multi‐embedding of same watermark sequence and the other is the multiembedding of different watermark sequences. The analysis emphasizes on four aspects; that is, robustness, capacity, distortion, and security. And each of which considers two cases, that is, the authorized embedding and unauthorized embedding. Additionally, the correlation detection based on multiwatermarking is proposed, and for each case, the corresponding suggestions to improve system performance are proposed. Some comparative experiments are performed, and results are given to show the validity of these theoretical analysis.Copyright © 2011 John Wiley & Sons, Ltd.

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Section: Experiments and Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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On multiwatermarking in cloud environment

Wang

Lian

2011

Concurrency and Computation

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Hybrid additive multi-watermarking and decoding

2013

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A bi-directional associative memory based multiple image watermarking on cover video

Agilandeeswari

Ganesan

2015

Multimed Tools Appl

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Telemedicine is a rapidly developing application of clinical medicine where medical information is transferred through the internet and other networks for the purpose of consulting, and remote medical procedures or examinations. This paper presents a novel neural network inspired watermarking technique, to enhance the authentication of the transmitted sensitive medical images over telemedicine network. In order to examine the medical images, the multiple scan images of same type or different types can be considered as watermarks and the same are trained using Bidirectional Associative Memory (BAM) neural network. The resultant weight matrix is embedded in the less correlated Principal Component Analysis (PCA) components of the wavelet coefficients of the cover video frames using additive embedding type of watermark. At the receiver end, the same BAM neural network is used with the randomly generated target matrix and the extracted weight matrix as input. As a result of this, the input matrix will be obtained. From the input matrix, the physician can extract their own information or scan images using their private or secret key. The proposed watermarking technique is validated with the existing systems in terms of imperceptibility, robustness and watermark capacity using the metrics such as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), Normalized Cross Correlation (NCC), Bit Correction Rate (BCR), Detection rate, Receiver Operating Characteristics (ROC) and payload. The performance of the proposed system is evaluated by introducing various notable image processing attacks, geometrical attacks and video processing attacks on watermarked video. The experimental results demonstrate that the proposed technique has good perceptual quality of 50.6292 dB in terms of PSNR value, robustness of about nearly 1.0000 in terms of NCC value and payload of 1000 watermarks.

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Performance Evaluation of Multiple Watermarks System

Cited by 6 publications

References 24 publications

On multiwatermarking in cloud environment

On multiwatermarking in cloud environment

Hybrid additive multi-watermarking and decoding

A bi-directional associative memory based multiple image watermarking on cover video

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