[Legacy Report] Video Quality Assessment of 2D and 3D Video
July 29, 2010 · 5:30 AM - 6:45 AM @ Moratuwa
Description
Seminar on Video Quality Assessment of 2D and 3D Video Abstract: The definition of video quality evaluation mechanisms plays a major role in the overall design of video communication systems. Most of the efforts in the research community have been focused on the image quality assessment, and only recently has video quality assessment received more attention. The most reliable way of assessing the quality of a video is subjective evaluation, because human beings are the ultimate receivers in most 2D and 3D video applications. The Mean Opinion Score (MOS), which is a subjective quality measurement obtained from a number of human observers, has been regarded for many years as the most reliable form of quality measurement. However, the MOS method is too inconvenient, slow and expensive for most applications. Therefore, researchers have identified the need of an automatic mean to measure the quality in video and it is defined as objective quality measurement. The objective quality metrics are important because they provide video designers and standard organizations with means for making meaningful quality evaluations without convening viewer panels. The goal of objective video quality assessment research is to design quality metrics that can predict perceived video quality automatically. In this short presentation we will discuss the motivations behind the quality evaluation of 2D and 3D video and its impertinence for future multimedia services, existing objective based metrics and limitations. We further focus on cost efficient delivery of rich interactive media services in real-life environments by jointly addressing user perceptual experience and quality/resource trade-offs. This would allow for a supplier independent interoperable multimedia network and service infrastructure that focuses on the users, focuses on their needs and expectations and allows for a seamless, personalized, trusted and, most importantly, satisfying experience. Speaker Bio: Dr. Anil Fernando leads the Video Codec group in University of Surrey, UK. He has been working in video coding since 1998 and has published more than 200 international refereed journal and proceeding papers in this area. Furthermore, he has published more than 15 international refereed journal and conference papers in video quality assessments. He is a member of the editorial board of the international journal of multimedia tools and applications. He has published nearly 220 international refereed journals/conference papers. He has also been nominated as the guest editor for several journals. He had recent invited talks in IEEE ICME, ICASSP and ICIP international conferences. His main research interests are video quality assessments, Quality of Experience (QoE) in multimedia, 3D and multiview video coding/processing, distributed video coding and content aware coding. Currently he is leading video quality assessment and QoE work in one of the largest EU funded project (MUSCADE) on 3D video broadcasting.