Name
Abstract | ||
|---|---|---|
Automatically assessing the subjective quality of a photo is a challenging area in visual computing. Previous works study the aesthetic quality assessment on a general set of photos regardless of the photo's content and mainly use features extracted from the entire image. In this work, we focus on a specific genre of photos: consumer photos with faces. This group of photos constitutes an important part of consumer photo collections. We first conduct an online study on Mechanical Turk to collect ground-truth and subjective opinions for a database of consumer photos with faces. We then extract technical features, perceptual features, and social relationship features to represent the aesthetic quality of a photo, by focusing on face-related regions. Experiments show that our features perform well for categorizing or predicting the aesthetic quality. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICIP.2010.5651833 | ICIP |
Keywords | Field | DocType |
database,aesthetic quality assessment,face recognition,photo content,social relationship,visual computing,digital photography,photo assessment,feature extraction,faces,aesthetic visual quality,ground truth,visualization,correlation,support vector machines | Visual computing,Computer vision,Facial recognition system,Digital photography,Social relationship,Visualization,Computer science,Feature extraction,Artificial intelligence,Perception | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-7993-1 | 978-1-4244-7993-1 | 30 |
PageRank | References | Authors |
1.16 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Congcong Li | 1 | 240 | 16.48 |
| andrew c gallagher | 2 | 720 | 32.17 |
| Alexander C. Loui | 3 | 773 | 58.76 |
| Tsuhan Chen | 4 | 4763 | 346.32 |