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Titlebook: Digital-Forensics and Watermarking; 13th International W Yun-Qing Shi,Hyoung Joong Kim,Ching-Nung Yang Conference proceedings 2015 Springer

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發(fā)表于 2025-3-21 19:38:32 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Digital-Forensics and Watermarking
副標題13th International W
編輯Yun-Qing Shi,Hyoung Joong Kim,Ching-Nung Yang
視頻videohttp://file.papertrans.cn/280/279922/279922.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Digital-Forensics and Watermarking; 13th International W Yun-Qing Shi,Hyoung Joong Kim,Ching-Nung Yang Conference proceedings 2015 Springer
描述.This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Workshop on Digital-Forensics and Watermarking, IWDW 2014, held in Taipei, Taiwan, during October 2014..The 32 full and 14 poster papers, presented together with 1 keynote speech, were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on forensics; watermarking; reversible data hiding; visual cryptography; and steganography and steganalysis..
出版日期Conference proceedings 2015
關鍵詞Coding theory; Database security; Digital forensics; Ensemble classifier; Fingerprint performance; Image
版次1
doihttps://doi.org/10.1007/978-3-319-19321-2
isbn_softcover978-3-319-19320-5
isbn_ebook978-3-319-19321-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Econometric applications and resampling,s analysis demonstrate that our proposed scheme achieves a high resilience against different types of tuple attacks, i.e., tuple attacks and attribute attacks. The experimental results also confirm that the proposed scheme is more secure and robust than other existing schemes.
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Employers’ and Survivors’ Perspectivesbed inaudible watermark into various kinds of audio signals and correctly detect watermark without the aid of original signals. The proposed method has the ability to embed watermark into audio signals up?to 150 bits per second with the bit error rate of less than 10?%.
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Work Disability: It is not just the “l(fā)esion”hich the color correspondence is wrong. Then, ORB keypoints, ORB descriptors and color descriptors are the zero-watermark to be registered. Finally, we perform outlier filtration using the RANSAC (random sample consensus) method and obtain the final inliers during the zero-watermark detection. Then
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