
High Dynamic Range Video
Concepts, Technologies and Applications
Description
Key Features
- Written by experts who have been actively researching High Dynamic Range Video
- Covers a full range of topics within the end-to-end HDR video pipeline
- Provides applications that demonstrate how HDR video can be applied
Readership
University and industry researchers, graduate and undergraduate students working in the field of High Dynamic Range (HDR) Video; Project and program managers making technological decisions about HDR video applications and services
Table of Contents
- Editors' Biography
- Acknowledgments
- Overview of HDR Video
- 1 Introduction
- 2 COST Action IC1005
- 3 The HDR Video Pipeline
- 4 Discussion
- Appendix
- Part 1: Capture
- Chapter 1: Ghosting in HDR Video
- Abstract
- 1 Introduction
- 2 Image Acquisition Model
- 3 HDR Image Deghosting Methods
- 4 HDR Video Capture Methods
- 5 Global Video Deghosting
- 6 Local Video Deghosting
- Chapter 2: Creating HDR Video Using Retargetting
- Abstract
- 1 Introduction
- 2 Background in HDR Video and Image Retargeting
- 3 Dynamic Camera and Static Scene
- 4 Static Camera and Dynamic Scene
- 5 Summary
- Chapter 3: HDR Multiview Image Sequence Generation: Toward 3D HDR Video
- Abstract
- 1 Introduction
- 2 Multiple Exposure Stereo Matching
- 3 Patch-Based Multiscopic HDR Generation
- 4 Results and Discussion
- Chapter 4: Calibrated Measurement of Imager Dynamic Range
- Abstract
- Acknowledgments
- 1 Introduction
- 2 Method and Materials
- 3 Results
- 4 Discussion
- 5 Conclusion
- Chapter 1: Ghosting in HDR Video
- Part 2: Manipulate
- Chapter 5: HDR Video Metrics
- Abstract
- Acknowledgments
- 1 Introduction
- 2 Image and Video Quality Assessment
- 3 DRI-VQM
- 4 HDR-VQM
- 5 Data-Driven Metrics
- 6 Outlook and Future Work
- Chapter 6: Practical Backwards Compatible High Dynamic Range Compression
- Abstract
- Acknowledgments
- 1 Introduction
- 2 Related Work
- 3 Practical Backwards Compatible Compression
- 4 Comparison Results
- 5 Conclusions
- Chapter 7: Real-Time HDR Video Processing and Compression Using an FPGA
- Abstract
- 1 HDR Video Processing
- 2 Description of the HDR Acquisition and Compression Task
- 3 Acquisition of HDR Video
- 4 HDR Video Compression Implementation
- 5 HDR Acquisition and Compression System Interfaces
- 6 HDR Acquisition and Compression Software Structure Overview
- 7 HDR Acquisition and Compressions Features and Results
- Chapter 8: Live HDR Video Broadcast Production
- Abstract
- 1 Introduction
- 2 Digital TV Basics
- 3 Integration of HDR Flows in Standard Broadcasting Pipelines
- 4 GPU-Based Real-Time Manipulation and Monitoring
- 5 Conclusions
- Chapter 5: HDR Video Metrics
- Part 3: Display
- Chapter 9: HDR Video on Small Screen Devices
- Abstract
- Acknowledgments
- 1 Introduction
- 2 HDR Video Tone-Mapping
- Chapter 10: Gaze-Dependent Tone Mapping for HDR Video
- Abstract
- Acknowledgments
- 1 Introduction
- 2 Background
- 3 Gaze-Dependent Tone Compression
- 4 Testbed and Results
- 5 Conclusions and Future Work
- Chapter 9: HDR Video on Small Screen Devices
- Part 4: Applications and Uptake
- Chapter 11: Improving Tracking Accuracy Using Illumination Neutralization and High Dynamic Range Imaging
- Abstract
- 1 Introduction
- 2 Overview
- 3 Acquisition of the Scene Illumination
- 4 Precomputed Radiance Transfer
- 5 Neutralizing Illumination
- 6 Improving Tracking Accuracy
- 7 Conclusions
- Chapter 12: Factors Influencing the Widespread Uptake of HDR Video
- Abstract
- 1 Introduction
- 2 Current HDR Video Television Adoption: What and Why
- 3 Current Adoption: Short Term or Enduring?
- 4 Supply Conditions and HDR Adoption
- 5 Coordination and the Role of Technology Standards
- 6 Conclusions
- Chapter 11: Improving Tracking Accuracy Using Illumination Neutralization and High Dynamic Range Imaging
- Index
Product details
- No. of pages: 284
- Language: English
- Copyright: © Academic Press 2016
- Published: December 1, 2016
- Imprint: Academic Press
- eBook ISBN: 9780081010389
- Hardcover ISBN: 9780128094778
About the Editors
Alan Chalmers

Affiliations and Expertise
Patrizio Campisi

He is the editor of the book ”Security and Privacy in Biometrics”, SPRINGER, July 2013. He is co-editor of the book ”Blind Image Deconvolution: theory and applications”, CRC press, May 2007. He is co-recipient of an IEEE ICIP06 and IEEE BTAS 2008 best student paper award and of an IEEE Biometric Symposium 2007 best paper award. He has been Associate editor of IEEE Signal Processing Letters and of IEEE Transactions on Information Forensics and Security. He is currently Senior Associate editor of IEEE Signal Processing Letters. He is IEEE SPS Director Student Services. He is a member of the IEEE Technical Committee on Information Assurance & Intelligent Multimedia-Mobile Communications, System, Man, and Cybernetics Society and was a member of the IEEE Certified Biometric Program (CBP) Learning System Committee.
Affiliations and Expertise
Peter Shirley

Affiliations and Expertise
Igor Olaizola

In 2002 he started as part of the research team of Vicomtech. In 2006 he worked for Vilau (a media engineering company) in consulting, depevelopment and deployment activities especially in the Digital TV market. Since 2007, Igor is the head of Digital Media department in Vicomtech where he has actively participated in R&D projects related with Media Production and Broadcasting technologies.
In 2013 he received his PhD in Computer Science and Artificial Intelligence by the Faculty of Computer Science of the University of the Basque Country. Igor participated in the COST Action IC1005 HDRi as dissemination chair and currently is associated lecturer in Tecnun. His main research interests are related with multimedia processing and analysis techniques with a special focus on broadcasting technologies.