Digital Audio Watermark Based on Subspace Watermarking Method
碩士 === 國立交通大學 === 資訊工程系所 === 93 === In recent years, due to the widespread use of Internet and great progress of the computer technologies, the proliferation of digital multimedia or documents is more and more important and can not be disregarded. To protect the intellectual property of the digital...
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ndltd-TW-093NCTU53920712016-06-06T04:10:45Z http://ndltd.ncl.edu.tw/handle/19787993844423906428 Digital Audio Watermark Based on Subspace Watermarking Method 以Subspace浮水印技術為基礎之數位音訊浮水印 Jia-Rong Fan 范家榮 碩士 國立交通大學 資訊工程系所 93 In recent years, due to the widespread use of Internet and great progress of the computer technologies, the proliferation of digital multimedia or documents is more and more important and can not be disregarded. To protect the intellectual property of the digital data, there has been significant interest in watermarking in recent days. We proposed a watermarking strategy from in which the watermark of a host audio data is selected from the robust features of the estimated forged audios of the host. In this thesis, the robust features will be selected from the coefficients of the low frequency part of DCT coefficients after the DCT transformation. The forged audios are obtained from some software, such as LAME compression encoder and Stirmark Benchmark for Audio (SMBA). They perform potential pirate attacks on the host audio. We apply SVD technique on the features of the forged audios and obtain two orthogonal spaces. One of them characterizes most of the variations in the modifications of the host. We embed our watermark in the other space that most potential pirate attacks don’t touch. Thus, the embedded watermark is robust. According to the result of some experiments, it shows that our watermarking method can reach the goal of both of high detection probability and low false-alarm probability. Yi-Shiung Yeh 葉義雄 2005 學位論文 ; thesis 70 zh-TW |
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碩士 === 國立交通大學 === 資訊工程系所 === 93 === In recent years, due to the widespread use of Internet and great progress of the computer technologies, the proliferation of digital multimedia or documents is more and more important and can not be disregarded. To protect the intellectual property of the digital data, there has been significant interest in watermarking in recent days. We proposed a watermarking strategy from in which the watermark of a host audio data is selected from the robust features of the estimated forged audios of the host.
In this thesis, the robust features will be selected from the coefficients of the low frequency part of DCT coefficients after the DCT transformation. The forged audios are obtained from some software, such as LAME compression encoder and Stirmark Benchmark for Audio (SMBA). They perform potential pirate attacks on the host audio. We apply SVD technique on the features of the forged audios and obtain two orthogonal spaces. One of them characterizes most of the variations in the modifications of the host. We embed our watermark in the other space that most potential pirate attacks don’t touch. Thus, the embedded watermark is robust. According to the result of some experiments, it shows that our watermarking method can reach the goal of both of high detection probability and low false-alarm probability.
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author2 |
Yi-Shiung Yeh |
author_facet |
Yi-Shiung Yeh Jia-Rong Fan 范家榮 |
author |
Jia-Rong Fan 范家榮 |
spellingShingle |
Jia-Rong Fan 范家榮 Digital Audio Watermark Based on Subspace Watermarking Method |
author_sort |
Jia-Rong Fan |
title |
Digital Audio Watermark Based on Subspace Watermarking Method |
title_short |
Digital Audio Watermark Based on Subspace Watermarking Method |
title_full |
Digital Audio Watermark Based on Subspace Watermarking Method |
title_fullStr |
Digital Audio Watermark Based on Subspace Watermarking Method |
title_full_unstemmed |
Digital Audio Watermark Based on Subspace Watermarking Method |
title_sort |
digital audio watermark based on subspace watermarking method |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/19787993844423906428 |
work_keys_str_mv |
AT jiarongfan digitalaudiowatermarkbasedonsubspacewatermarkingmethod AT fànjiāróng digitalaudiowatermarkbasedonsubspacewatermarkingmethod AT jiarongfan yǐsubspacefúshuǐyìnjìshùwèijīchǔzhīshùwèiyīnxùnfúshuǐyìn AT fànjiāróng yǐsubspacefúshuǐyìnjìshùwèijīchǔzhīshùwèiyīnxùnfúshuǐyìn |
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