AN EFFECTIVE FOVEATED 360° IMAGE ASSESSMENT BASED ON GRAPH CONVOLUTION NETWORK

Truong, Thu Huong; Do Thu, Ha; Tran, Thi Thanh Huyen; Truong, Thang; Nam, Pham; Nguyen, Thanh; Ngo, Viet; Bui, Tien

doi:10.36227/techrxiv.19134935.v1

AN EFFECTIVE FOVEATED 360° IMAGE ASSESSMENT BASED ON GRAPH CONVOLUTION NETWORK.pdf (3.02 MB)

AN EFFECTIVE FOVEATED 360° IMAGE ASSESSMENT BASED ON GRAPH CONVOLUTION NETWORK

preprint

posted on 2022-02-10, 14:37 authored by Thu Huong Truong, Ha Do ThuHa Do Thu, Thi Thanh Huyen Tran, Thang Truong, Pham Nam, Thanh Nguyen, Viet Ngo, Tien Bui

Non-uniform (foveated) 360° image quality assessment using graph convolution network

Funding

Vingroup Innovation Foundation (VINIF)

History

Email Address of Submitting Author

nam.pn@vinuni.edu.vn

ORCID of Submitting Author

0000-0001-5096-8480

Submitting Author's Institution

College of Engineering and Computer Science, Hanoi, Vietnam

Submitting Author's Country

Viet Nam

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Keywords

foveated omnidirectional image VR GCN QoE

Licence

CC BY 4.0

AN EFFECTIVE FOVEATED 360° IMAGE ASSESSMENT BASED ON GRAPH CONVOLUTION NETWORK

Funding

Vingroup Innovation Foundation (VINIF)

History

Email Address of Submitting Author

ORCID of Submitting Author

Submitting Author's Institution

Submitting Author's Country

Usage metrics

Categories

Keywords

Licence

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