Elsevier S & T

Image and Video Databases: Restoration, Watermarking and Retrieval: Restoration, Watermarking and Retrieval

Hanjalic, A.; Langelaar, G.C.; van Roosmalen, P.M.B.; Biemond, J.; Lagendijk, R.L.

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Table of contents
  • Cover
  • Contentsxv
  • Prefacevii
  • Outlineix
  • Part I: Restoration1
  • CHAPTER 1. INTRODUCTION TO RESTORATION3
  • 1.1 Background3
  • 1.2 Scope of Part I3
  • 1.3 Overview of Part I7
  • CHAPTER 2. MODELING AND CODING9
  • 2.1 Modeling for image restoration9
  • 2.2 Image restoration and storage20
  • CHAPTER 3. INTENSITY FLICKER CORRECTION27
  • 3.1 Introduction27
  • 3.2 Estimating and correcting intensity flicker in stationary sequences28
  • 3.3 Incorporating motion34
  • 3.4 Practical issues41
  • 3.5 Experiments and results42
  • 3.6 Conclusions46
  • CHAPTER 4. BLOTCH DETECTION AND CORRECTION51
  • 4.1 System for blotch detection and correction51
  • 4.2 Overview of existing techniques54
  • 4.3 Improved blotch detection by postprocessing66
  • 4.4 Blotch detection with increased temporal aperture76
  • 4.5 Fast, good quality interpolation of missing data79
  • 4.6 Results and conclusions91
  • CHAPTER 5. NOISE REDUCTION BY CORING93
  • 5.1 Introduction93
  • 5.2 Noise reduction techniques94
  • 5.3 Coring image sequences in wavelet and subband domains98
  • 5.4 MPEG2 for noise reduction112
  • 5.5 Conclusions121
  • CHAPTER 6. EVALUATION OF RESTORED IMAGE SEQUENCES123
  • 6.1 Introduction123
  • 6.2 Assessment of restored image sequences123
  • 6.3 Experiments and results128
  • APPENDIX A. HIERARCHICAL MOTION ESTIMATION135
  • APPENDIX B. DERIVATION OF CONDITIONALS137
  • APPENDIX C. OPTIMAL QUANTIZERS FOR ENCODING NOISY IMAGE SEQUENCES143
  • BIBLIOGRAPHY – PART I147
  • Part II: Watermarking155
  • CHAPTER 7. INTRODUCTION TO WATERMARKING157
  • 7.1 The need for watermarking157
  • 7.2 Watermarking requirements159
  • 7.3 Brief history of watermarking162
  • 7.4 Scope of Part II164
  • 7.5 Overview of Part II167
  • CHAPTER 8. STATE-OF-THE-ART IN IMAGE AND VIDEO WATERMARKING171
  • 8.1 Introduction171
  • 8.2 Correlation based watermark techniques172
  • 8.3 Extended correlation-based watermark techniques191
  • 8.4 Non-correlation-based watermarking techniques198
  • 8.5 Conclusions203
  • CHAPTER 9. LOW COMPLEXITY WATERMARKS FOR MPEG COMPRESSED VIDEO205
  • 9.1 Introduction205
  • 9.2 Watermarking MPEG video bit streams207
  • 9.3 Correlation-based techniques in the coefficient domain210
  • 9.4 Parity bit modification in the bit domain214
  • 9.5 Re-labeling resistant bit domain watermarking method223
  • 9.6 Conclusions224
  • CHAPTER 10. DIFFERENTIAL ENERGY WATERMARKS (DEW)227
  • 10.1 Introduction227
  • 10.2 The DEW concept for MPEG/JPEG encoded video229
  • 10.3 Detailed DEW algorithm description232
  • 10.4 Evaluation of the DEW algorithm for MPEG video data240
  • 10.5 Extension of the DEW concept for EZW-coded images247
  • 10.6 Conclusions250
  • CHAPTER 11. FINDING OPTIMAL PARAMETERS FOR THE DEW ALGORITHM251
  • 11.1 Introduction251
  • 11.2 Modeling the DEW concept for JPEG compressed video253
  • 11.3 Model validation with real-world data258
  • 11.4 Label error probability263
  • 11.5 Optimal parameter settings266
  • 11.6 Experimental results268
  • 11.7 Conclusions271
  • CHAPTER 12. BENCHMARKING THE DEW WATERMARKING ALGORITHM273
  • 12.1 Introduction273
  • 12.2 Benchmarking methods274
  • 12.3 Watermark attacks276
  • 12.4 Benchmarking the DEW algorithm285
  • 12.5 Conclusions296
  • BIBLIOGRAPHY – PART II299
  • Part III: Retrieval311
  • Chapter 13. INFORMATION RETRIEVAL: AN INTRODUCTION313
  • 13.1 Information retrieval systems: From needs to technical solutions313
  • 13.2 Scope of Part III317
  • 13.3 Overview of Part III319
  • Chapter 14. STATISTICAL FRAMEWORK FOR SHOT-BOUNDARY DETECTION323
  • 14.1 Introduction323
  • 14.2 Previous work on shot-boundary detection328
  • 14.3 A robust statistical framework for shot-boundary detection339
  • 14.4 Detector for abrupt shot boundaries343
  • 14.5 Conclusions348
  • Chapter 15. AUTOMATICALLY ABSTRACTING VIDEO USING KEY FRAMES351
  • 15.1 Introduction351
  • 15.2 Previous work on key-frame extraction355
  • 15.3 Extracting key frames by approximating the curve of visual-content variations359
  • 15.4 Key-frame extraction based on cluster-validity analysis368
  • 15.5 Conclusions377
  • Chapter 16. HIGH-LEVEL VIDEO CONTENT ANALYSIS379
  • 16.1 Introduction379
  • 16.2 Related work384
  • 16.3 Automatically segmenting movies into Logical Story Units391
  • 16.4 Detecting anchorperson shots in news programs403
  • 16.5 Conclusions410
  • Chapter 17. COMPRESSION TRENDS: THE "FOURTH CRITERION413
  • 17.1 Introduction413
  • 17.2 A concept of an alternative image CODEC418
  • 17.3 Image CODEC based on simplified VQ422
  • 17.4 Performance evaluation427
  • 17.5 Conclusions434
  • BIBLIOGRAPHY – PART III437
  • INDEX443
Book details
  • Vendor Elsevier S & T
  • SKU 9780444505026
  • ISBN-13 9780080508474
  • Author Hanjalic, A.; Langelaar, G.C.; van Roosmalen, P.M.B.; Biemond, J.; Lagendijk, R.L.
  • Category Technology & Engineering
  • Subject Imaging Systems

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Description eBook delivery & access Reviews
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).