Attentive Deep Stitching and Quality Assessment for 360$^{\circ }$ Omnidirectional Images

2020 ◽  
Vol 14 (1) ◽  
pp. 209-221 ◽  
Author(s):  
Jia Li ◽  
Yifan Zhao ◽  
Weihua Ye ◽  
Kaiwen Yu ◽  
Shiming Ge
Author(s):  
Huiyu Duan ◽  
Guangtao Zhai ◽  
Xiongkuo Min ◽  
Yucheng Zhu ◽  
Yi Fang ◽  
...  

2020 ◽  
Vol 2020 (9) ◽  
pp. 287-1-287-11
Author(s):  
Abderrezzaq Sendjasni ◽  
Mohamed-Chaker Larabi ◽  
Faouzi Alaya Cheikh

Subjective quality assessment remains the most reliable way to evaluate image quality while being tedious and money consuming. Therefore, objective quality evaluation ensures a trade-off by providing a computational approach for predicting image quality. Even though a large literature exists for 2D image and video quality evaluation, 360-degree images quality is still under-explored. One can question the efficiency of 2D quality metrics on such a new type of content. To this end, we propose to study the possible improvement of well-known 2D quality metrics using important features related to 360-degree content, i.e. equator bias and visual saliency. The performance evaluation is conducted on two databases containing various distortion types. The obtained results show a slight improvement of the performance highlighting some problems inherently related to both the database content and the subjective evaluation approach used to obtain the observers’ quality scores.


1997 ◽  
Vol 24 (7) ◽  
pp. 496-505 ◽  
Author(s):  
E. S. GROSSMAN ◽  
J. M. MATEJKA
Keyword(s):  

PsycCRITIQUES ◽  
2006 ◽  
Vol 51 (14) ◽  
Author(s):  
Howard N. Garb
Keyword(s):  

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