Quality of Experience in 3DTV
Duration of project
From March 2011 to February 2013
COST Action IC1003: European Network on Quality of Experience in Multimedia Systems and Services (QUALINET)
From all the emerging multimedia modalities, 3D television (3DTV) is currently by far the one with the largest momentum, due to the availability of interesting 3D content and affordable 3D display technologies. However, one of the problems that may prevent 3DTV from becoming a world-wide success is that users expect an improved experience with respect to conventional TV and HDTV. Unfortunately, current 3DTV does not always offer a better Quality of Experience (QoE). In some situations, the perceived quality may become lower for the same content shown in 3D when compared to 2D. Reasons for that include technological limitations of current 3D technologies and lack of knowledge for 3D content creation. In order to ensure the adoption of 3DTV in the next decade, it is therefore crucial to optimize the 3D quality from a user perspective along the whole 3D processing chain. However, this requires reliable tools for 3D quality evaluation. While 2D quality evaluation is quite mature, 3D quality evaluation is a rather unexplored topic.
The goal of this project is to advance the state of the art in 3D video quality evaluation by developing more reliable subjective quality methods and objective quality metrics that consider quality from a user perspective. This will be achieved by analyzing the requirements of a home entertainment scenario and creating a representative dataset which considers not only the content, but also the context and the users. This dataset will be used to compare existing approaches for 3D quality evaluation and identify their strength and weaknesses, based on which more reliable methods will be developed.
- Define scenarios and create datasets for the development and evaluation of 3D video objective metrics.
- Assess available 2D video quality evaluation methodologies and metric, and adapt them where possible, for components that make sense, to 3D video quality assessment and metrics.
- Study and develop reliable 3D video quality metrics.
- Evaluate and validate developed methods and metrics to facilitate the creation of a quality certification mechanism.