Screen Content Video Quality Assessment Model Using Hybrid Spatiotemporal Features-Reference-Cited by-同舟云学术

Screen Content Video Quality Assessment Model Using Hybrid Spatiotemporal Features

Author:

Zeng Huanqiang¹^ORCID,Huang Hailiang²,Hou Junhui³^ORCID,Cao Jiuwen⁴^ORCID,Wang Yongtao⁵^ORCID,Ma Kai-Kuang⁶^ORCID

Affiliation:

1. School of Engineering, Huaqiao University, Quanzhou, China

2. School of Information Science and Engineering, Huaqiao University, Xiamen, China

3. Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong

4. Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China

5. Institute of Computer Science and Technology, Peking University, Beijing, China

6. School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation for Outstanding Young Scholars of Fujian Province

Natural Science Foundation of Fujian Province

Collaborative Innovation Platform Project of Fuzhou-Xiamen-Quanzhou National Independent Innovation Demonstration Zone

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference69 articles.

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