Subjective and objective quality assessment for volumetric video compression
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Journal ArticleDate:
2019Access:
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Zerman, Emin; Gao, Pan; Ozcinar, Cagri; Smolic, Aljosa, Subjective and objective quality assessment for volumetric video compression, Electronic Imaging, 2019, 1--Download Item:
Abstract:
Volumetric video is becoming easier to capture and display
with the recent technical developments in the acquisition, and display technologies. Using point clouds is a popular way to represent volumetric video for augmented or virtual reality applications. This representation, however, requires a large number of
points to achieve a high quality of experience and needs compression before storage and transmission. In this paper, we study
the subjective and objective quality assessment results for volumetric video compression, using a state-of-the-art compression
algorithm: MPEG Point Cloud Compression Test Model Category 2 (TMC2). We conduct subjective experiments to find the
perceptual impacts on compressed volumetric video with different quantization parameters and point counts. Additionally, we
find the relationship between the state-of-the-art objective quality
metrics and the acquired subjective quality assessment results. To
the best of our knowledge, this study is the first to consider TMC2
compression for volumetric video represented as coloured point
clouds and study its effects on the perceived quality. The results
show that the effect of input point counts for TMC2 compression
is not meaningful, and some geometry distortion metrics disagree
with the perceived quality. The developed database is publicly
available to promote the study of volumetric video compression.
URI:
https://www.ingentaconnect.com/content/ist/ei/2019/00002019/00000010/art00021http://hdl.handle.net/2262/90359
Author's Homepage:
http://people.tcd.ie/smolicahttp://people.tcd.ie/zermane
Description:
PUBLISHEDIS&T International Symposium on Electronic Imaging 2019Image Quality and System Performance XVI
Author: Smolic, Aljosa; Zerman, Emin
Type of material:
Journal ArticleURI:
https://www.ingentaconnect.com/content/ist/ei/2019/00002019/00000010/art00021http://hdl.handle.net/2262/90359
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Electronic ImagingAvailability:
Full text availableKeywords:
3D visual representation, Augmented reality, Coloured point cloud, Objective quality metrics, Subjective quality assessment, Virtual reality, Volumetric video compressionDOI:
http://dx.doi.org/10.2352/ISSN.2470-1173.2019.10.IQSP-323ISSN:
2470-1173Metadata
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