Comparing humans to automation in rating photographic aesthetics

Computer vision researchers have recently developed automated methods for rating the aesthetic appeal of a photograph. Machine learning techniques, applied to large databases of photos, mimic with reasonably good accuracy the mean ratings of online viewers. However, owing to the many factors underly...

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Bibliographic Details
Main Authors: Kakarala, Ramakrishna, Agrawal, Abhishek, Morales, Sandino
Other Authors: Lin, Qian
Format: Conference or Workshop Item
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/88344
http://hdl.handle.net/10220/46915
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Institution: Nanyang Technological University
Language: English

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