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Titlebook: Digital Forensics and Watermarking; 15th International W Yun Qing Shi,Hyoung Joong Kim,Feng Liu Conference proceedings 2017 Springer Intern

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發(fā)表于 2025-3-21 18:48:30 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Digital Forensics and Watermarking
副標(biāo)題15th International W
編輯Yun Qing Shi,Hyoung Joong Kim,Feng Liu
視頻videohttp://file.papertrans.cn/280/279338/279338.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Digital Forensics and Watermarking; 15th International W Yun Qing Shi,Hyoung Joong Kim,Feng Liu Conference proceedings 2017 Springer Intern
描述This book constitutes the revised post-conference proceedings of the 15th International Workshop on Digital Forensics and Watermarking, IWDW 2016, held in Beijing, China, in September 2016..The 45 papers presented in this volume were carefully reviewed and selected from 70 submissions. The contributions are organized in topical sections on digital forensics,?visual cryptography,?reversible data hiding, and?steganography and steganalysis..
出版日期Conference proceedings 2017
關(guān)鍵詞authentication; cloud storage; deep learning; ensemble classifiers; fingerprint; image encryption; image s
版次1
doihttps://doi.org/10.1007/978-3-319-53465-7
isbn_softcover978-3-319-53464-0
isbn_ebook978-3-319-53465-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

書目名稱Digital Forensics and Watermarking影響因子(影響力)




書目名稱Digital Forensics and Watermarking影響因子(影響力)學(xué)科排名




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書目名稱Digital Forensics and Watermarking網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Digital Forensics and Watermarking被引頻次




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https://doi.org/10.1007/978-1-4614-8193-5gnal. ODG and SDG analysis are performed on both the original and watermarked signal and the results signify the efficiency of the proposed scheme. Moreover, some signal processing operations are finally carried out on the watermarked signal and the outcome was intriguing as all attacks are countera
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Concealing Fingerprint-Biometric Data into Audio Signals for Identify Authenticationgnal. ODG and SDG analysis are performed on both the original and watermarked signal and the results signify the efficiency of the proposed scheme. Moreover, some signal processing operations are finally carried out on the watermarked signal and the outcome was intriguing as all attacks are countera
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Jewellord Nem Singh,France Bourgouin and time-saving countermeasure against video-based face spoofing attacks based on LBP (Local Binary Patterns) and multiscale DCT (Discrete Cosine Transform) is proposed. Adopted as the low-level descriptors, LBP features are used to extract spatial information in each selected frame. Next, multisca
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