Comparing humans to automation in rating photographic aesthetics

• Main Authors: Kakarala, Ramakrishna, Agrawal, Abhishek, Morales, Sandino
• Other Authors: Lin, Qian
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: Photography; DRNTU::Engineering::Computer science and engineering; Aesthetics
• Online Access: https://hdl.handle.net/10356/88344; http://hdl.handle.net/10220/46915
• Institution: Nanyang Technological University

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...