Study of 3D Virtual Reality Picture Quality

Abstract

Virtual Reality (VR) and its applications have attracted significant and increasing attention. However, the requirements of much larger file sizes, different storage formats, and immersive viewing conditions pose significant challenges to the goals of acquiring, transmitting, compressing and displaying high quality VR content. Towards meeting these challenges, it is important to be able to understand the distortions that arise and that can affect the perceived quality of displayed VR content. It is also important to develop ways to automatically predict VR picture quality. Meeting these challenges requires basic tools in the form of large, representative subjective VR quality databases on which VR quality models can be developed and which can be used to benchmark VR quality prediction algorithms. Towards making progress in this direction, here we present the results of an immersive 3D subjective image quality assessment study. In the study, 450 distorted images obtained from 15 pristine 3D VR images modified by 6 types of distortion of varying severities were evaluated by 42 subjects in a controlled VR setting. Both the subject ratings as well as eye tracking data were recorded and made available as part of the new database, in hopes that the relationships between gaze direction and perceived quality might be better understood. We also evaluated several publicly available IQA models on the new database, and also report a statistical evaluation of the performances of the compared IQA models.Index Terms-image quality assessment, immersive image database, virtual reality, human perception, full reference.

Visual Quality of 3D Meshes With Diffuse Colors in Virtual Reality: Subjective and Objective Evaluation

“…The mean of the 2 correlations is high, while the standard deviation is rather low, which indicates a good agreement between the subjects. We then further explored the internal consistency of the subject data as proposed by [45]. For each stimulus, we randomly divided the subjects who rated it into two equal size groups (12 observers per group) and calculated the SROCC between the recovered MOSs of the 2 groups.…”

Leveraging the Promotion of Tourist Destinations and the Interpretation of their Heritage using Virtual Reality

“…We should consider that the experience in VR will be as rewarding for users as the quality of the contents made available (Chen, Jin, Goodall, Yu, & Bovik, 2019;Jiang, Yang, Jiang, Lv, & Meng, 2018), as well as the ease of interaction that the system provides (Murthy, 2020).…”

Try before you buy – Akzeptanz von Virtual-Reality-Anwendungen zur Leistungsbeurteilung von Erfahrungsgütern

“…Im Rahmen der vorliegenden Untersuchung wurden keine spezifischen gestalterischen sowie technischen Rahmenbedingungen K der VR-Anwendung wie beispielsweise der Aufbau des Interaktionsdesigns oder die Qualität des Bildmaterials thematisiert. Diese Aspekte wurden in vorangegangenen Forschungsarbeiten untersucht (Chen et al 2020;Hepperle et al 2019;Flavián et al 2019).…”