DocumentCode
3707922
Title
Image aesthetics depends on context
Author
Florian Simond;Nikolaos Arvanitopoulos;Sabine Süsstrunk
Author_Institution
School of Computer and Communication Sciences, É
fYear
2015
Firstpage
3788
Lastpage
3792
Abstract
We investigate the influence of low-level image features for aesthetics prediction. We show that the aesthetic quality of a photography depends on its context. Image features learned from a specific image category are not necessarily the same as features learned from a generic image collection. Experiments conducted on specific image categories show that specific features obtain statistically significantly better results than generic ones.
Keywords
"Feature extraction","Image color analysis","Brightness","Animals","Semantics","Context","Reliability"
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/ICIP.2015.7351513
Filename
7351513
Link To Document