Immersive Media Data Compression and Quality Evaluation

Principal investigator: Cristian Perra
Curriculum: UniversityGoglescholar, ResearchgateJIL publications

Progress in technology has led to the development of new forms of media technologies and services in the areas of virtual, augmented and mixed reality (VR/AR/MR). New imaging modalities, such as texture-plus-depth, light field, point cloud, and holographic imaging are the digital signals at the core of these media technologies. Many challenges remain in developing useful and practical data representation formats, data coding and compression tools, communication protocols, subjective and objective quality of experience measurement metrics and methods. This project aims at exploring current and novel data compression and quality evaluation tools for the development of immersive media applications.