Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ICIP.2010.5651833
DC Field | Value | |
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dc.title | Aesthetic quality assessment of consumer photos with faces | |
dc.contributor.author | Li C. | |
dc.contributor.author | Gallagher A. | |
dc.contributor.author | Loui A.C. | |
dc.contributor.author | Chen T. | |
dc.date.accessioned | 2018-08-21T05:00:22Z | |
dc.date.available | 2018-08-21T05:00:22Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Li C., Gallagher A., Loui A.C., Chen T. (2010). Aesthetic quality assessment of consumer photos with faces. Proceedings - International Conference on Image Processing, ICIP : 3221-3224. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2010.5651833 | |
dc.identifier.isbn | 9781424479948 | |
dc.identifier.issn | 15224880 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/146167 | |
dc.description.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. | |
dc.source | Scopus | |
dc.subject | Aesthetic visual quality | |
dc.subject | Faces | |
dc.subject | Photo assessment | |
dc.subject | Social relationship | |
dc.type | Conference Paper | |
dc.contributor.department | OFFICE OF THE PROVOST | |
dc.contributor.department | DEPARTMENT OF COMPUTER SCIENCE | |
dc.description.doi | 10.1109/ICIP.2010.5651833 | |
dc.description.sourcetitle | Proceedings - International Conference on Image Processing, ICIP | |
dc.description.page | 3221-3224 | |
dc.published.state | published | |
Appears in Collections: | Staff Publications |
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