Multimedia security 2 : Biometrics, video surveillance and multimedia encryption /

Today, more than 80% of the data transmitted over networks and archived on our computers, tablets, cell phones or clouds is multimedia data - images, videos, audio, 3D data. The applications of this data range from video games to healthcare, and include computer-aided design, video surveillance and...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Puech, William (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : London : Wiley ; ISTE, [2022]
Colección:Sciences. image. compression, coding and protection of images and videos
Temas:
Multimedia systems > Security measures.
Multimédia > Sécurité > Mesures.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Cover
  • Half-Title Page
  • Title Page
  • Copyright Page
  • Contents
  • Foreword by Gildas Avoine
  • Foreword by Cédric Richard
  • Preface
  • Chapter 1. Biometrics and Applications
  • 1.1. Introduction
  • 1.2. History of biometrics
  • 1.3. The foundations of biometrics
  • 1.3.1. Uses of biometrics
  • 1.3.2. Definitions
  • 1.3.3. Biometric modalities
  • 1.4. Scientific issues
  • 1.4.1. Presentation attacks
  • 1.4.2. Acquisition of new biometric data or hidden biometrics
  • 1.4.3. Quality of biometric data
  • 1.4.4. Efficient representation of biometric data
  • 1.4.5. Protecting biometric data
  • 1.4.6. Aging biometric data
  • 1.5. Conclusion
  • 1.6. References
  • Chapter 2. Protecting Documents Using Printed Anticopy Elements
  • 2.1. Introduction
  • 2.2. Document authentication approaches: an overview
  • 2.3. Print test shapes
  • 2.3.1. Print test signatures
  • 2.3.2. Glyphs
  • 2.3.3. Guilloches
  • 2.4. Copy-sensitive graphical codes
  • 2.4.1. Copy detection pattern
  • 2.4.2. Two-level barcodes
  • 2.4.3. Watermarked barcodes
  • 2.4.4. Performance of CSGC authentication
  • 2.5. Conclusion
  • 2.6. References
  • Chapter 3. Verifying Document Integrity
  • 3.1. Introduction
  • 3.2. Fraudulent manipulation of document images
  • 3.2.1. Imitation
  • 3.2.2. Copy-and-paste of a region from the same document
  • 3.2.3. Copy-and-paste of a region from another document
  • 3.2.4. Deleting information
  • 3.3. Degradation in printed and re-scanned documents
  • 3.3.1. Degradations linked to the print process
  • 3.3.2. Degradations linked to scanning
  • 3.3.3. Degradation models
  • 3.4. Active approaches: protection by extrinsic fingerprints
  • 3.4.1. Watermarking a document
  • 3.4.2. Digital signatures
  • 3.5. Passive approaches: detecting intrinsic characteristics
  • 3.5.1. Printer identification
  • 3.5.2. Detecting graphical clues
  • 3.5.3. Other approaches.
  • 3.6. Conclusion
  • 3.7. References
  • Chapter 4. Image Crypto-Compression
  • 4.1. Introduction
  • 4.2. Preliminary notions
  • 4.2.1. The JPEG image format
  • 4.2.2. Introduction to cryptography
  • 4.3. Image encryption
  • 4.3.1. Naive methods
  • 4.3.2. Chaos-based methods
  • 4.3.3. Encryption-then-compression
  • 4.4. Different classes of crypto-compression for images
  • 4.4.1. Substitution-based crypto-compression
  • 4.4.2. Shuffle-based crypto-compression
  • 4.4.3. Hybrid crypto-compression
  • 4.5. Recompressing crypto-compressed JPEG images
  • 4.5.1. A crypto-compression approach robust to recompression
  • 4.5.2. Recompression of a crypto-compressed image
  • 4.5.3. Decoding a recompressed version of a crypto-compressed JPEG image
  • 4.5.4. Illustration of the method
  • 4.6. Conclusion
  • 4.7. References
  • Chapter 5. Crypto-Compression of Videos
  • 5.1. Introduction
  • 5.1.1. Background
  • 5.1.2. Video compression
  • 5.1.3. Video security
  • 5.2. State of the art
  • 5.2.1. Naive encryption
  • 5.2.2. Partial encryption
  • 5.2.3. Perceptual encryption
  • 5.2.4. Crypto-compression methods
  • 5.2.5. Selective encryption methods
  • 5.3. Format-compliant selective encryption
  • 5.3.1. Properties
  • 5.3.2. Constant bitrate format compliant selective encryption
  • 5.3.3. Standardized selective encryption
  • 5.3.4. Locally applied selective encryption
  • 5.3.5. Decrypting selective encryption
  • 5.4. Image and video quality
  • 5.4.1. Experiments on encryption solutions
  • 5.4.2. Video quality: experimental results
  • 5.4.3. CSE: a complete real-time solution
  • 5.5. Perspectives and directions for future research
  • 5.5.1. Versatile Video Coding
  • 5.5.2. Immersive and omnidirectinal video
  • 5.6. Conclusion
  • 5.7. References
  • Chapter 6. Processing Encrypted Multimedia Data Using Homomorphic Encryption
  • 6.1. Context.
  • 6.2. Different classes of homomorphic encryption systems
  • 6.2.1. Partial solutions in classic cryptography
  • 6.2.2. Complete solutions in cryptography using Euclidean networks
  • 6.3. From theory to practice
  • 6.3.1. Algorithmics
  • 6.3.2. Implementation and optimization
  • 6.3.3. Managing and reducing the size of encrypted elements
  • 6.3.4. Security
  • 6.4. Proofs of concept and applications
  • 6.4.1. Facial recognition
  • 6.4.2. Classification
  • 6.4.3. RLE and image compression
  • 6.5. Conclusion
  • 6.6. Acknowledgments
  • 6.7. References
  • Chapter 7. Data Hiding in the Encrypted Domain
  • 7.1. Introduction: processing multimedia data in the encrypted domain
  • 7.1.1. Applications: visual secret sharing
  • 7.1.2. Applications: searching and indexing in encrypted image databases
  • 7.1.3. Applications: data hiding in the encrypted domain
  • 7.2. Main aims
  • 7.2.1. Digital rights management
  • 7.2.2. Cloud storage
  • 7.2.3. Preserving patient confidentiality
  • 7.2.4. Classified data
  • 7.2.5. Journalism
  • 7.2.6. Video surveillance
  • 7.2.7. Data analysis
  • 7.3. Classes and characteristics
  • 7.3.1. Properties
  • 7.3.2. Classic approaches to encryption
  • 7.3.3. Evaluation criteria
  • 7.4. Principal methods
  • 7.4.1. Image partitioning
  • 7.4.2. Histogram shifting
  • 7.4.3. Encoding
  • 7.4.4. Prediction
  • 7.4.5. Public key encryption
  • 7.5. Comparison and discussion
  • 7.6. A high-capacity data hiding approach based on MSB prediction
  • 7.6.1. General description of the method
  • 7.6.2. The CPE-HCRDH approach
  • 7.6.3. The EPE-HCRDH approach
  • 7.6.4. Experimental results for both approaches
  • 7.7. Conclusion
  • 7.8. References
  • Chapter 8. Sharing Secret Images and 3D Objects
  • 8.1. Introduction
  • 8.2. Secret sharing
  • 8.2.1. Classic methods
  • 8.2.2. Hierarchical aspects
  • 8.3. Secret image sharing
  • 8.3.1. Principle.
  • 8.3.2. Visual cryptography
  • 8.3.3. Secret image sharing (polynomial-based)
  • 8.3.4. Properties
  • 8.4. 3D object sharing
  • 8.4.1. Principle
  • 8.4.2. Methods without format preservation
  • 8.4.3. Methods with format preservation
  • 8.5. Applications for social media
  • 8.6. Conclusion
  • 8.7. References
  • List of Authors
  • Index
  • EULA.

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