Leveraging statistics to develop new methodologies for subjective quality assessment
Not stated
- Funding
- Self-Funded PhD Students Only
- Application deadline
- Year-round applications
About the project
About the Project Subjective tests for the assessment of the quality of experience (QoE) are typically run with a pool of subjects providing their opinion scores using a 5-point scale. The subjects’ mean opinion score (MOS) is generally assumed as the best estimation of the average score in the target population. Indeed, for a large enough sample, we may assume that the mean of the variations across the subjects approaches zero, but this is not the case for the limited number of subjects typically considered in subjective tests. The aim of the project is to improve the accuracy of subjective tests with a limited number of subjects, relying on statistical models and designing the subjective tests appropriately. Collaboration with national and international partners (research bodies/academy/industry) is expected, as well as the possibility of an industrial internship during the PhD. The project will benefit from the state-of-the-art equipment available in our Centre for Augmented and Virtual Environments (CAVE lab) including a dedicated Subjective quality assessment room and state-of-the-art professional displays. The selected candidate will become part of the Wireless Multimedia Networking research group, one of the largest and most successful in the Faculty. Candidates are expected to have at least a BSc 2:1 in a relevant area (computer science, engineering, statistics, mathematics) and possibly an MSc in a related area.