scholarly journals Using visual analytics to detect problems in datasets collected from photo-sharing services

Author(s):  
Alexander Kachkaev ◽  
Jo Wood
2012 ◽  
Vol 2 (2) ◽  
pp. 114-115
Author(s):  
Ch. priyanka Ch. priyanka ◽  
◽  
Dr P.Govardhan Dr P.Govardhan

i-Perception ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 204166952110035
Author(s):  
Katja Thömmes ◽  
Gregor Hayn-Leichsenring

What makes a great bird photo? To examine this question, we collected over 20,000 photos of birds from the photo-sharing platform Instagram with their corresponding liking data. We standardized the total numbers of Likes and extracted information from the image captions. With this database, we investigated content-related image properties to see how they affect the ubiquitous online behavior of pressing a Like button. We found substantial differences between bird families, with a surprising winner in the category “most instagrammable bird.” The colors of the depicted bird also significantly affected the liking behavior of the online community, replicating and generalizing previously found human color preferences to the realm of bird photography.


Heliyon ◽  
2020 ◽  
Vol 6 (12) ◽  
pp. e05733
Author(s):  
Mohammad Fadhli Asli ◽  
Muzaffar Hamzah ◽  
Ag Asri Ag Ibrahim ◽  
Enna Ayub
Keyword(s):  

Author(s):  
Qiangqiang Liu ◽  
Quan Li ◽  
Chunfeng Tang ◽  
Huanbin Lin ◽  
Xiaojuan Ma ◽  
...  
Keyword(s):  

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