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Intelligent Techniques in Signal Processing for Multimedia Security

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Cover of 'Intelligent Techniques in Signal Processing for Multimedia Security'

Table of Contents

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    Book Overview
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    Chapter 1 Security of Multimedia Contents: A Brief
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    Chapter 2 A Survey on Intelligent Security Techniques for High-Definition Multimedia Data
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    Chapter 3 Intelligent Morphing and Steganography Techniques for Multimedia Security
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    Chapter 4 Information Hiding: Steganography
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    Chapter 5 Digital Watermarking: A Potential Solution for Multimedia Authentication
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    Chapter 6 Real-time Implementation of Reversible Watermarking
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    Chapter 7 Comparative Approach Between Singular Value Decomposition and Randomized Singular Value Decomposition-based Watermarking
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    Chapter 8 Biometric-Based Security System: Issues and Challenges
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    Chapter 9 Parametric Evaluation of Different Cryptographic Techniques for Enhancement of Energy Efficiency in Wireless Communication Network
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    Chapter 10 Hand Image Biometric Based Personal Authentication System
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    Chapter 11 A Study on Security and Surveillance System Using Gait Recognition
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    Chapter 12 Face Recognition Under Dry and Wet Face Conditions
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    Chapter 13 Improved Approach for 3D Face Characterization
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    Chapter 14 Attendance Recording System Using Partial Face Recognition Algorithm
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    Chapter 15 Automatic Human Emotion Recognition in Surveillance Video
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    Chapter 16 Watermarking in Biomedical Signal Processing
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    Chapter 17 Pixel Repetition Technique: A High Capacity and Reversible Data Hiding Method for E-Healthcare Applications
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    Chapter 18 A New Method of Haar and Db10 Based Secured Compressed Data Transmission Over GSM Voice Channel
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    Chapter 19 StegNmark: A Joint Stego-Watermark Approach for Early Tamper Detection
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    Chapter 20 Adaptive Color Image Watermarking Scheme Using Weibull Distribution
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    Chapter 21 Multi-fingerprint Unimodel-based Biometric Authentication Supporting Cloud Computing
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Intelligent Techniques in Signal Processing for Multimedia Security
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-44790-2
978-3-31-944789-6, 978-3-31-944790-2

Nilanjan Dey, V. Santhi

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Master 4 11%
Professor 3 8%
Lecturer 2 5%
Student > Bachelor 2 5%
Other 5 14%
Unknown 12 32%
Readers by discipline Count As %
Computer Science 13 35%
Engineering 8 22%
Biochemistry, Genetics and Molecular Biology 1 3%
Social Sciences 1 3%
Arts and Humanities 1 3%
Other 0 0%
Unknown 13 35%