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Investigating the perceived strengths and limitations of Free-Viewpoint Video (FVV)

Investigating the perceived strengths and limitations of Free-Viewpoint Video (FVV)

Macquarrie, Andrew and Steed, Anthony (2020) Investigating the perceived strengths and limitations of Free-Viewpoint Video (FVV). Frontiers in Virtual Reality, 1 (11). ISSN 2673-4192 (Online) (doi:10.3389/frvir.2020.00011)

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Abstract

Free-viewpoint video (FVV) is a type of immersive content in which a character performance is filmed using an array of cameras and processed into a video-textured, animated 3D mesh. Although FVV content has a unique set of properties that differentiates it from other immersive media types, relatively little work explores the user experience of such content. As a preliminary investigation, we adopted an open-ended, qualitative approach to investigate these issues. Semi-structured interviews were conducted with six immersive content experts, exploring the perceived strengths and limitations of FVV as a content type. These interviews were analyzed using inductive thematic analysis. We identified five themes during our analysis: they don't look real, but that's okay; they can really move; they don't connect with me; encounter, legacy, and truth; no technology is an island. Our analysis reveals a wide range of future research directions and provides insight into which areas may produce the most benefit in relation to the user experience. We discuss, for example, the potential impact of difficulties in supporting user engagement, aspects related to visual quality such as the importance of responding realistically to environment lighting, and tensions between visual and behavioral quality. The analysis also highlights the complex interplay of factors related to the content itself, such as performance style and the use of creative production techniques to reduce the impact of potential limitations.

Item Type: Article
Uncontrolled Keywords: free-viewpoint video, virtual reality, augmented reality, content creation, VR, AR, XR
Subjects: N Fine Arts > N Visual arts (General) For photography, see TR
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Related URLs:
Last Modified: 04 Mar 2022 13:06
URI: http://gala.gre.ac.uk/id/eprint/35110

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