Image and video databases : restoration, watermarking, and retrieval /

This book provides an in-depth treatment of the three important topics related to image and video databases: restoration, watermarking and retrieval . It is the result of the participation of the Delft University of Technology in the European Union ACTS program, a pre-competitive R & D program o...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Hanjalic, A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; New York : Elsevier Science B.V., 2000.
Colección:Advances in image communication ; 8.
Temas:
Image processing > Digital techniques.
Image processing > Databases.
Video recordings > Databases.
Database management.
Digital watermarking.
Traitement d'images > Techniques num�eriques.
Traitement d'images > Bases de donn�ees.
Vid�eos > Bases de donn�ees.
Bases de donn�ees > Gestion.
Tatouage num�erique.
digital imaging.
digital watermarking.
TECHNOLOGY & ENGINEERING > Imaging Systems.
Database management
Digital watermarking
Image processing
Image processing > Digital techniques
Video recordings
Database
databases.
Databases
Databases.
Bases de donn�ees.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Contents
  • Preface
  • Outline
  • Part I: Restoration
  • CHAPTER 1. INTRODUCTION TO RESTORATION
  • 1.1 Background
  • 1.2 Scope of Part I
  • 1.3 Overview of Part I
  • CHAPTER 2. MODELING AND CODING
  • 2.1 Modeling for image restoration
  • 2.2 Image restoration and storage
  • CHAPTER 3. INTENSITY FLICKER CORRECTION
  • 3.1 Introduction
  • 3.2 Estimating and correcting intensity flicker in stationary sequences
  • 3.3 Incorporating motion
  • 3.4 Practical issues
  • 3.5 Experiments and results
  • 3.6 Conclusions
  • CHAPTER 4. BLOTCH DETECTION AND CORRECTION
  • 4.1 System for blotch detection and correction
  • 4.2 Overview of existing techniques
  • 4.3 Improved blotch detection by postprocessing
  • 4.4 Blotch detection with increased temporal aperture
  • 4.5 Fast, good quality interpolation of missing data
  • 4.6 Results and conclusions
  • CHAPTER 5. NOISE REDUCTION BY CORING
  • 5.1 Introduction
  • 5.2 Noise reduction techniques
  • 5.3 Coring image sequences in wavelet and subband domains
  • 5.4 MPEG2 for noise reduction
  • 5.5 Conclusions
  • CHAPTER 6. EVALUATION OF RESTORED IMAGE SEQUENCES
  • 6.1 Introduction
  • 6.2 Assessment of restored image sequences
  • 6.3 Experiments and results
  • APPENDIX A. HIERARCHICAL MOTION ESTIMATION
  • APPENDIX B. DERIVATION OF CONDITIONALS
  • APPENDIX C. OPTIMAL QUANTIZERS FOR ENCODING NOISY IMAGE SEQUENCES
  • BIBLIOGRAPHY
  • PART I
  • Part II: Watermarking
  • CHAPTER 7. INTRODUCTION TO WATERMARKING
  • 7.1 The need for watermarking
  • 7.2 Watermarking requirements
  • 7.3 Brief history of watermarking
  • 7.4 Scope of Part II
  • 7.5 Overview of Part II
  • CHAPTER 8. STATE-OF-THE-ART IN IMAGE AND VIDEO WATERMARKING
  • 8.1 Introduction
  • 8.2 Correlation based watermark techniques
  • 8.3 Extended correlation-based watermark techniques
  • 8.4 Non-correlation-based watermarking techniques
  • 8.5 Conclusions
  • CHAPTER 9. LOW COMPLEXITY WATERMARKS FOR MPEG COMPRESSED VIDEO
  • 9.1 Introduction
  • 9.2 Watermarking MPEG video bit streams
  • 9.3 Correlation-based techniques in the coefficient domain
  • 9.4 Parity bit modification in the bit domain
  • 9.5 Re-labeling resistant bit domain watermarking method
  • 9.6 Conclusions
  • CHAPTER 10. DIFFERENTIAL ENERGY WATERMARKS (DEW)
  • 10.1 Introduction
  • 10.2 The DEW concept for MPEG/JPEG encoded video
  • 10.3 Detailed DEW algorithm description
  • 10.4 Evaluation of the DEW algorithm for MPEG video data
  • 10.5 Extension of the DEW concept for EZW-coded images
  • 10.6 Conclusions
  • CHAPTER 11. FINDING OPTIMAL PARAMETERS FOR THE DEW ALGORITHM
  • 11.1 Introduction
  • 11.2 Modeling the DEW concept for JPEG compressed video
  • 11.3 Model validation with real-world data
  • 11.4 Label error probability
  • 11.5 Optimal parameter settings
  • 11.6 Experimental results
  • 11.7 Conclusions
  • CHAPTER 12. BENCHMARKING THE DEW WATERMARKING ALGORITHM
  • 12.1 Introduction
  • 12.2 Benchmarking methods
  • 12.

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