Artificial Intelligence Techniques for Quality Assessments of Immersive Multimedia

Artificial Intelligence techniques are being applied in the quality assessment of immersive multimedia content, such as virtual and augmented reality scenarios. The immersive nature of these applications poses a unique challenge to traditional quality assessment methods. In fact, estimating user acceptance of immersive technologies is complex due to multiple aspects, such as usability, enjoyment, and cyber sickness. Artificial Intelligence-based approaches offer a promising solution to this problem, enabling objective evaluations of immersive multimedia such as spatial audios, point clouds, and light field images. This work presents an overview of different artificial intelligence techniques that have been used for quality assessments of immersive multimedia content, including machine learning algorithms, deep learning, and computer vision. The advantages of these techniques and some examples of practical application are provided. Future works are presented, underlining the possible outcomes of a Ph.D. study in this field.