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Titlebook: Digital Watermarking; 6th International Wo Yun Q. Shi,Hyoung-Joong Kim,Stefan Katzenbeisser Conference proceedings 2008 Springer-Verlag Ber

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书目名称Digital Watermarking
副标题6th International Wo
编辑Yun Q. Shi,Hyoung-Joong Kim,Stefan Katzenbeisser
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Digital Watermarking; 6th International Wo Yun Q. Shi,Hyoung-Joong Kim,Stefan Katzenbeisser Conference proceedings 2008 Springer-Verlag Ber
描述This book constitutes the refereed proceedings of the 6th International Workshop, IWDW 2007, held in Guangzhou, China, in December 2007. The 24 revised full papers together with 3 invited papers were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on watermark security; steganalysis; authentication; reversible data hiding; robust watermarking; poster session; theory and methods in watermarking.
出版日期Conference proceedings 2008
关键词JPEG; access control; algorithms; audio watermarking; calculus; complexity; cryptography; encryption; finger
版次1
doihttps://doi.org/10.1007/978-3-540-92238-4
isbn_softcover978-3-540-92237-7
isbn_ebook978-3-540-92238-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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Displacement: Maps and Emotions in ,plications. The efforts of many researchers from different disciplines have helped us to understand the basic issues and the challenges, and to help guiding the community toward actual applications. As digital watermarking matures as a technology, it is time to review what has been accomplished and
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Emotional Education and Leadership in the , promising approaches for the secure embedding and detection of a watermark in an untrusted environment, and we point out some associated challenges..In the former case we consider Zero-Knowledge Watermark Detection (ZKWMD) that allows a legitimate party to prove to a potentially untrusted verifying
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W. B. Yeats and Shakespearean Characters as the candidate features for fusion and make use of the Boosting Feature Selection (BFS) algorithm as the fusion tool to select a subset of these candidate features as the new fusion feature vector for blind image steganalysis. Support vector machines are then used as the classifier. Experimental
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