DocumentCode
2489455
Title
Saliency retargeting: An approach to enhance image aesthetics
Author
Wong, Lai-Kuan ; Low, Kok-Lim
Author_Institution
Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
fYear
2011
fDate
5-7 Jan. 2011
Firstpage
73
Lastpage
80
Abstract
A photograph that has visually dominant subjects in general induces stronger aesthetic interest. Inspired by this, we have developed a new approach to enhance image aesthetics through saliency retargeting. Our method alters low-level image features of the objects in the photograph such that their computed saliency measurements in the modified image become consistent with the intended order of their visual importance. The goal of our approach is to produce an image that can redirect the viewers´ attention to the most important objects in the image, and thus making these objects the main subjects. Since many modified images can satisfy the same specified order of visual importance, we trained an aesthetics score prediction model to pick the one with the best aesthetics. Results from our user experiments support the effectiveness of our approach.
Keywords
feature extraction; image enhancement; photography; image aesthetics enhancement; image feature; photograph; saliency retargeting; Computational modeling; Image color analysis; Image segmentation; Lighting; Prediction algorithms; Predictive models; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Applications of Computer Vision (WACV), 2011 IEEE Workshop on
Conference_Location
Kona, HI
ISSN
1550-5790
Print_ISBN
978-1-4244-9496-5
Type
conf
DOI
10.1109/WACV.2011.5711486
Filename
5711486
Link To Document