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Affective Computing

ENSEMBLE NETWORK FOR RANKING IMAGES BASED ON VISUAL APPEAL


We propose a computational framework for ranking images (group photos in particular) taken at the same event within a short time span. The ranking is expected to correspond with human perception of overall appeal of the images. We hypothesize and provide evidence through subjective analysis that the factors that appeal to humans are its emotional content, aesthetics and image quality. We propose a network which is an ensemble of three information channels, each predicting a score corresponding to one of the three visual appeal factors.

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14 May 2020 - 4:31am
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[1] , "ENSEMBLE NETWORK FOR RANKING IMAGES BASED ON VISUAL APPEAL", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5264. Accessed: Aug. 10, 2020.
@article{5264-20,
url = {http://sigport.org/5264},
author = { },
publisher = {IEEE SigPort},
title = {ENSEMBLE NETWORK FOR RANKING IMAGES BASED ON VISUAL APPEAL},
year = {2020} }
TY - EJOUR
T1 - ENSEMBLE NETWORK FOR RANKING IMAGES BASED ON VISUAL APPEAL
AU -
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5264
ER -
. (2020). ENSEMBLE NETWORK FOR RANKING IMAGES BASED ON VISUAL APPEAL. IEEE SigPort. http://sigport.org/5264
, 2020. ENSEMBLE NETWORK FOR RANKING IMAGES BASED ON VISUAL APPEAL. Available at: http://sigport.org/5264.
. (2020). "ENSEMBLE NETWORK FOR RANKING IMAGES BASED ON VISUAL APPEAL." Web.
1. . ENSEMBLE NETWORK FOR RANKING IMAGES BASED ON VISUAL APPEAL [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5264