This book provides an in-depth investigation of the quality relevant perceptual video space in the domain of videotelephony. The author presents an extensive investigation and quality modeling of the underlying video quality dimensions and the overall quality. The author examines the underlying quality dimensions and describes a method for subjective evaluation as well as the instrumental estimation of video quality in videotelephony. The book presents a new subjective test method in the field of video quality assessment. Further, it explains the experimental examination of the underlying video quality dimensions and the subjective-based, as well as instrumental-based quality estimation.

• Provides an investigation of the underlying quality dimensions of video in videotelephony;
• Presents insights into a new subjective test method, standardized as ITU-T Rec. P.918;
• Includes insights into the subjective and instrumental video quality estimation.

Provides an investigation of the underlying quality dimensions of video in videotelephony Presents insights into a new subjective test method, standardized as ITU-T Rec. P.918 Includes insights into the subjective and instrumental video quality estimation

Autorentext

Falk Schiffner is an acoustic- an audio-engineer. After his vocational education in "Hearing Aid Acoustics," he studied "Technical Audiology" (Hörakustik) at the University of Applied Science in Lübeck, and "Audiocommunication- and Technology" at the Technical University Berlin. In 2014 he was Research Assistant at the Ear-Nose-Throat-Department of the University Hospital RWTH Aachen for six months. In the same year, he changed to the Quality and Usability Lab at the Technische Universität Berlin, where he completed his Ph.D.

Inhalt

Introduction.- Related work and theoretical background.- Quality feature space of transmitted video.- Direct scaling of video quality dimensions.- Quality modeling and prediction.- Instrumental dimension-based video quality modeling.- Audio and video quality modeling.- Instrumental estimation of dimension-based audio-visual quality.- Future work.- Conclusion.