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Omnidirectional Video Quality Metrics and Evaluation Process

Authors: Vladyslav Zakharchenko; Kwangpyo Choi; Elena Alshina; Jeonghoon Park;

Omnidirectional Video Quality Metrics and Evaluation Process

Abstract

Widespread of virtual reality technologies across entertainment formats has created a diverse infrastructure of related technologies as head-mount displays, dome screens and virtual reality multi-camera platforms. As omnidirectional content is processing pipeline is completely different form conventional planar video and involves multiple conversion steps which affect quality in a different way. As a result of our research we propose objective quality estimation methodology and a set of tools to evaluate different projection methods and coding tools for omnidirectional video content.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Top 10%
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