Transactions on Data Hiding and Multimedia Security VI [recurso electrónico] / edited by Yun Q. Shi, Sabu Emmanuel, Mohan S. Kankanhalli, Shih-Fu Chang, Regunathan Radhakrishnan, Fulong Ma, Li Zhao.

Por: Shi, Yun Q [editor.]Colaborador(es): Emmanuel, Sabu [editor.] | Kankanhalli, Mohan S [editor.] | Chang, Shih-Fu [editor.] | Radhakrishnan, Regunathan [editor.] | Ma, Fulong [editor.] | Zhao, Li [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 6730Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XI, 110p. 75 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642245565Tema(s): Computer science | Computer Communication Networks | Data protection | Data encryption (Computer science) | Computer software | Optical pattern recognition | Computer Science | Systems and Data Security | Computer Communication Networks | Data Encryption | Algorithm Analysis and Problem Complexity | Computers and Society | Pattern RecognitionFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 005.8 Clasificación LoC:QA76.9.A25Recursos en línea: Libro electrónicoTexto
Contenidos:
Markovian Rake Transform for Digital Image Tampering Detection -- Embedding Binary Watermarks In Dual-Tree Complex Wavelets Domain for Access Control of Digital Images -- Robust Watermarking of Compressed JPEG Images in Encrypted Domain -- A Progressive Quality Hiding Strategy Based on Equivalence Partitions of Hiding Units -- Histogram-Based Image Hashing for Searching Content-Preserving Copies.
En: Springer eBooksResumen: 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 issue consists mainly of a special section on content protection and forensics including four papers. The additional paper deals with histogram-based image hashing for searching content-preserving copies.
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Colección de Libros Electrónicos QA76.9 .A25 (Browse shelf(Abre debajo)) 1 No para préstamo 376805-2001

Markovian Rake Transform for Digital Image Tampering Detection -- Embedding Binary Watermarks In Dual-Tree Complex Wavelets Domain for Access Control of Digital Images -- Robust Watermarking of Compressed JPEG Images in Encrypted Domain -- A Progressive Quality Hiding Strategy Based on Equivalence Partitions of Hiding Units -- Histogram-Based Image Hashing for Searching Content-Preserving Copies.

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 issue consists mainly of a special section on content protection and forensics including four papers. The additional paper deals with histogram-based image hashing for searching content-preserving copies.

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