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Transactions On Data Hiding And Multimedia Security Iii 1st Edition Jrgen Bierbrauer

  • SKU: BELL-4240488
Transactions On Data Hiding And Multimedia Security Iii 1st Edition Jrgen Bierbrauer
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Transactions On Data Hiding And Multimedia Security Iii 1st Edition Jrgen Bierbrauer instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 1.62 MB
Pages: 91
Author: Jürgen Bierbrauer, Jessica Fridrich (auth.), Yun Q. Shi (eds.)
ISBN: 9783540690160, 9783540690191, 3540690166, 3540690190
Language: English
Year: 2008
Edition: 1

Product desciption

Transactions On Data Hiding And Multimedia Security Iii 1st Edition Jrgen Bierbrauer by Jürgen Bierbrauer, Jessica Fridrich (auth.), Yun Q. Shi (eds.) 9783540690160, 9783540690191, 3540690166, 3540690190 instant download after payment.

Since the mid 1990s, data hiding has been proposed as an enabling technology for securing multimedia communication, and is now used in various applications including broadcast monitoring, movie fingerprinting, steganography, video indexing and retrieval, and image authentication. Data hiding and cryptographic techniques are often combined to complement each other, thus triggering the development of a new research field of multimedia security. Besides, two related disciplines, steganalysis and data forensics, are increasingly attracting researchers and becoming another new research field of multimedia security. This journal, LNCS Transactions on Data Hiding and Multimedia Security, aims to be a forum for all researchers in these emerging fields, publishing both original and archival research results.

This third issue contains five contributions in the areas of steganography and digital watermarking. The first two papers deal with the security of steganographic systems; the third paper presents a novel image steganographic scheme. Finally, this volume includes two papers that focus on digital watermarking and data hiding. The fourth paper introduces and analyzes a new covert channel and the fifth contribution analyzes the performance of additive attacks against quantization-based data hiding methods.

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