Digital Video Quality

Visual quality assessment is an interdisciplinary topic that links image/video processing, psychology and physiology. Many engineers are familiar with the image/video processing; transmission networks side of things but not with the perceptual aspects pertaining to quality.

Digital Video Quality first introduces the concepts of human vision and visual quality. Based on these, specific video quality metrics are developed and their design is presented. These metrics are then evaluated and used in a number of applications, including image/video compression, transmission and watermarking.

• Introduces the concepts of human vision and vision quality.

• Presents the design and development of specific video quality metrics.

• Evaluates video quality metrics in the context of image/video compression, transmission and watermarking.

• Presents tools developed for the analysis of video quality

Auteur

Stefan Winkler was born in Horn, Austria. He received the
M.Sc. degree with highest honors in electrical engineering from the
University of Technology in Vienna, Austria, in 1996, and the Ph.D.
degree in electrical engineering from the École
Polytechnique Fédérale de Lausanne (EPFL),
Switzerland, in 2000 for work on vision modeling and video quality
measurement. He also spent one year at the University of Illinois
at Urbana-Champaign as a Fulbright student. He did internships at
Siemens, ROLM, German Aerospace, Andersen Consulting, and
Hewlett-Packard.

In January 2001 he co-founded Genimedia (now Genista), a company
developing perceptual quality metrics for multimedia applications.
In October 2002, he returned to EPFL as a post-doctoral fellow, and
he also held an assistant professor position at the University of
Lausanne for a semester. Currently he is Chief Scientist at Genista
Corporation.

Dr Winkler has been an invited speaker at numerous technical
conferences and seminars. He was organizer of a special session on
video quality at VCIP 2003, technical program committee member for
ICIP 2004 and WPMC 2004, and has been serving as a reviewer for
several scientific journals. He is the author and co-author of over
30 publications on vision modeling and quality assessment.

Contenu
About the Author. Acknowledgements.

Acronyms.

1 Introduction.

1.1 Motivation.

1.2 Outline.

2 Vision.

2.1 Eye.

2.2 Retina.

2.3 Visual Pathways.

2.4 Sensitivity to Light.

2.5 Color Perception.

2.6 Masking and Adaptation.

2.7 Multi-channel Organization.

2.8 Summary.

3 Video Quality.

3.1 Video Coding and Compression.

3.2 Artifacts.

3.3 Visual Quality.

3.4 Quality Metrics.

3.5 Metric Evaluation.

3.6 Summary.

4 Models and Metrics.

4.1 Isotropic Contrast.

4.2 Perceptual Distortion Metric.

4.3 Summary.

5 Metric Evaluation.

5.1 Still Images.

5.2 Video.

5.3 Component Analysis.

5.4 Summary.

6 Metric Extensions.

6.1 Blocking Artifacts.

6.2 Object Segmentation.

6.3 Image Appeal.

6.4 Summary.

7 Closing Remarks.

7.1 Summary.

7.2 Perspectives.

Appendix: Color Space Conversions.

References.

Index.