Notice

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Subject [IEEE CSVT] Deep Virtual Reality Image Quality (by Hak Gu & Heoun-taek) is accepted in IEEE Trans. on Circuits and Systems for Video Technology
Name
Date 2019-01-30
Deep Virtual Reality Image Quality Assessment has been accepted as a regular paper in IEEE Trans. on Circuits and Systems for Video Technology.
 
The paper title is "Deep Virtual Reality Image Quality Assessment with Human Perception Guider for Omnidirectional Image ". The paper contribution is to, first time in the world, provide an objective VR image quality assessment which is needed in the emerging VR industry. The novel deep network scheme featured by human perception guider and associated new learning algorithms are devised. The paper results will be used as a very useful tool in VR research.
This paper has been written by Hak Gu Kim, Heoun-taek Lim, and Yong Man Ro.