Academic Press Library in Signal Processing, Volume 6: Image and Video Processing and Analysis and Computer Vision is aimed at university researchers, post graduate students and R&D engineers in the industry, providing a tutorial-based, comprehensive review of key topics and technologies of research in both image and video processing and analysis and computer vision. The book provides an invaluable starting point to the area through the insight and understanding that it provides.
With this reference, readers will quickly grasp an unfamiliar area of research, understand the underlying principles of a topic, learn how a topic relates to other areas, and learn of research issues yet to be resolved.
1. Introduction - p. xxi 2. Section 1: Visual Information Processing - p. xxi 3. Chapter 1: Multiview video: Acquisition, processing, compression, and virtual view rendering - p. xxi 4. Chapter 2: Plenoptic imaging: Representation and processing - p. 74 5. Chapter 3: Visual attention, visual salience, and perceived interest in multimedia applications - p. 111 6. Chapter 4: Emerging science of QoE in multimedia applications: Concepts, experimental guidelines, and validation of models - p. 161 7. Abstract - p. 163 8. 4.1 QoE Definition and Influencing Factors - p. 164 9. 4.2 QoE Measurement - p. 166 10. 4.3 Performance Evaluation of Objective QoE Estimators - p. 191 11. 4.4 Conclusion - p. 205 12. Section 2: Computational Imaging and 3D Analysis - p. 209 13. Chapter 5: Computational photography - p. 209 14. Chapter 6: Face detection with a 3D model - p. 235 15. Chapter 7: A survey on nonrigid 3D shape analysis - p. 259 16. Abstract - p. 261 17. Acknowledgments - p. 261 18. 7.1 Introduction - p. 261 19. 7.2 General Formulation - p. 263 20. 7.3 Shape Spaces and Metrics - p. 267 21. 7.4 Registration and Geodesics - p. 278 22. 7.5 Statistical Analysis Under Elastic Metrics - p. 286 23. 7.6 Examples and Applications - p. 289 24. 7.7 Summary and Perspectives - p. 297 25. Chapter 8: Markov models and MCMC algorithms in image processing - p. 304 26. Section 3: Image and Video-Based Analytics - p. 344 27. Chapter 9: Scalable image informatics - p. 344 28. Chapter 10: Person re-identification - p. 364 29. Chapter 11: Social network inference in videos - p. 394 30. Index - p. 425
Academic Press Library in Signal Processing, Volume 6: Image and Video Processing and Analysis and Computer Vision is aimed at university researchers, post graduate students and R&D engineers in the industry, providing a tutorial-based, comprehensive review of key topics and technologies of research in both image and video processing and analysis and computer vision. The book provides an invaluable starting point to the area through the insight and understanding that it provides.
With this reference, readers will quickly grasp an unfamiliar area of research, understand the underlying principles of a topic, learn how a topic relates to other areas, and learn of research issues yet to be resolved.
1. Introduction - p. xxi 2. Section 1: Visual Information Processing - p. xxi 3. Chapter 1: Multiview video: Acquisition, processing, compression, and virtual view rendering - p. xxi 4. Chapter 2: Plenoptic imaging: Representation and processing - p. 74 5. Chapter 3: Visual attention, visual salience, and perceived interest in multimedia applications - p. 111 6. Chapter 4: Emerging science of QoE in multimedia applications: Concepts, experimental guidelines, and validation of models - p. 161 7. Abstract - p. 163 8. 4.1 QoE Definition and Influencing Factors - p. 164 9. 4.2 QoE Measurement - p. 166 10. 4.3 Performance Evaluation of Objective QoE Estimators - p. 191 11. 4.4 Conclusion - p. 205 12. Section 2: Computational Imaging and 3D Analysis - p. 209 13. Chapter 5: Computational photography - p. 209 14. Chapter 6: Face detection with a 3D model - p. 235 15. Chapter 7: A survey on nonrigid 3D shape analysis - p. 259 16. Abstract - p. 261 17. Acknowledgments - p. 261 18. 7.1 Introduction - p. 261 19. 7.2 General Formulation - p. 263 20. 7.3 Shape Spaces and Metrics - p. 267 21. 7.4 Registration and Geodesics - p. 278 22. 7.5 Statistical Analysis Under Elastic Metrics - p. 286 23. 7.6 Examples and Applications - p. 289 24. 7.7 Summary and Perspectives - p. 297 25. Chapter 8: Markov models and MCMC algorithms in image processing - p. 304 26. Section 3: Image and Video-Based Analytics - p. 344 27. Chapter 9: Scalable image informatics - p. 344 28. Chapter 10: Person re-identification - p. 364 29. Chapter 11: Social network inference in videos - p. 394 30. Index - p. 425
