Image and Video Databases Restoration Watermarking and Retrieval Restoration Watermarking and Retrieval 1st Edition by Hanjalic A, Langelaar GC, van Roosmalen, Biemond J, Lagendijk ISBN 0444505024 9780444505026

Image and Video Databases: Restoration, Watermarking and Retrieval: Restoration, Watermarking and Retrieval 1st Edition by Hanjalic A, Langelaar GC, van Roosmalen, Biemond J, Lagendijk – Ebook PDF Instant Download/Delivery. 0444505024, 9780444505026
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ISBN 10: 0444505024 
ISBN 13: 9780444505026
Author: Hanjalic A, Langelaar GC, van Roosmalen, Biemond J, Lagendijk

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 on Advanced Communications Technologies and Services (1994-1998). In particular the book has benefited from participation in the AURORA and SMASH projects respectively automated film and video restoration and storage for multimedia systems (watermarking & retrieval).

Image and Video Databases: Restoration, Watermarking and Retrieval: Restoration, Watermarking and Retrieval 1st Table of contents:

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
12.3 Watermark attacks
12.4 Benchmarking the DEW algorithm
12.5 Conclusions
BIBLIOGRAPHY – PART II
Part III: Retrieval
Chapter 13. INFORMATION RETRIEVAL: AN INTRODUCTION
13.1 Information retrieval systems: From needs to technical solutions
13.2 Scope of Part III
13.3 Overview of Part III
Chapter 14. STATISTICAL FRAMEWORK FOR SHOT-BOUNDARY DETECTION
14.1 Introduction
14.2 Previous work on shot-boundary detection
14.3 A robust statistical framework for shot-boundary detection
14.4 Detector for abrupt shot boundaries
14.5 Conclusions
Chapter 15. AUTOMATICALLY ABSTRACTING VIDEO USING KEY FRAMES
15.1 Introduction
15.2 Previous work on key-frame extraction
15.3 Extracting key frames by approximating the curve of visual-content variations
15.4 Key-frame extraction based on cluster-validity analysis
15.5 Conclusions
Chapter 16. HIGH-LEVEL VIDEO CONTENT ANALYSIS
16.1 Introduction
16.2 Related work
16.3 Automatically segmenting movies into Logical Story Units
16.4 Detecting anchorperson shots in news programs
16.5 Conclusions
Chapter 17. COMPRESSION TRENDS: THE “FOURTH CRITERION
17.1 Introduction
17.2 A concept of an alternative image CODEC
17.3 Image CODEC based on simplified VQ
17.4 Performance evaluation
17.5 Conclusions

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