Textured Mesh vs Coloured Point Cloud: A Subjective Study for Volumetric Video Compression
Citation:
Zerman, E., Ozcinar, C., Gao, P., Smolic, A., "Textured Mesh vs Coloured Point Cloud: A Subjective Study for Volumetric Video Compression," 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), Athlone, Ireland, 2020, pp. 1-6Download Item:
Abstract:
Volumetric video (VV) pipelines reached a high level of maturity, creating interest to use such content in interactive visualisation scenarios. VV allows real world content to be captured and represented as 3D models, which can be viewed from any chosen viewpoint and direction. Thus, VV is ideal to be used in augmented reality (AR) or virtual reality (VR) applications. Both textured polygonal meshes and point clouds are popular methods to represent VV. Even though the signal and image processing community slightly favours the point cloud due to its simpler data structure and faster acquisition, textured polygonal meshes might have other benefits such as better visual quality and easier integration with computer graphics pipelines. To better understand the difference between them, in this study, we compare these two different representation formats for a VV compression scenario utilising state-of-the-art compression techniques. For this purpose, we build a database and collect user opinion scores for subjective quality assessment of the compressed VV. The results show that meshes provide the best quality at high bitrates, while point clouds perform better for low bitrate cases. The created VV quality database will be made available online to support further scientific studies on VV quality assessment.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
15/RP/2776
Author's Homepage:
http://people.tcd.ie/smolica
Author: Smolic, Aljosa
Other Titles:
Twelfth International Conference on Quality of Multimedia Experience (QoMEX), IEEE Athlone, Ireland, Forthcoming.Type of material:
Conference PaperCollections
Availability:
Full text availableKeywords:
Volumetric video, Textured meshes, Point clouds, Subjective quality assessment, Point cloud compression, MeshcompressionSubject (TCD):
Creative Technologies , Digital Engagement , Computer Education/Literacy , Data Analysis , Multimedia & CreativityDOI:
10.1109/QoMEX48832.2020.9123137Metadata
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