Transactions on Data Hiding and Multimedia Security VIII

Name: Transactions on Data Hiding and Multimedia Security VIII
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642319709
Price: 20951 HUF
Availability: InStock

Szerző: Yun Q. Shi

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 13-18 napon belül

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Since the mid 1990s, data hiding has been proposed as an enabling technology for securing multimedia...

Információk a könyvről

Szerző

Yun Q. Shi

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2012

oldal

103

EAN

9783642319709

ISBN

364231970X

Enbook ID

01661710

Kiadó

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Súly

192

Méretek

155 x 235 x 15

Teljes leírás

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 special issue contains five selected papers that were presented at the Workshop on Pattern Recognition for IT Security, held in Darmstadt, Germany, in September 2010, in conjunction with the 32nd Annual Symposium of the German Association for Pattern Recognition, DAGM 2010. It demonstrates the broad range of security-related topics that utilize graphical data. The contributions explore the security and reliability of biometric data, the power of machine learning methods to differentiate forged images from originals, the effectiveness of modern watermark embedding schemes and the use of information fusion in steganalysis.

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Transactions on Data Hiding and Multimedia Security VIII

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