Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ICIP.2009.5413825
DC Field | Value | |
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dc.title | Saliency-enhanced image aesthetics class prediction | |
dc.contributor.author | Wong, L.-K. | |
dc.contributor.author | Low, K.-L. | |
dc.date.accessioned | 2013-07-04T08:10:19Z | |
dc.date.available | 2013-07-04T08:10:19Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Wong, L.-K.,Low, K.-L. (2009). Saliency-enhanced image aesthetics class prediction. Proceedings - International Conference on Image Processing, ICIP : 997-1000. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICIP.2009.5413825" target="_blank">https://doi.org/10.1109/ICIP.2009.5413825</a> | |
dc.identifier.isbn | 9781424456543 | |
dc.identifier.issn | 15224880 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/40699 | |
dc.description.abstract | We present a saliency-enhanced method for the classification of professional photos and snapshots. First, we extract the salient regions from an image by utilizing a visual saliency model. We assume that the salient regions contain the photo subject. Then, in addition to a set of discriminative global image features, we extract a set of salient features that characterize the subject and depict the subject-background relationship. Our high-level perceptual approach produces a promising 5-fold cross-validation (5-CV) classification accuracy of 78.8%, significantly higher than existing approaches that concentrate mainly on global features. ©2009 IEEE. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICIP.2009.5413825 | |
dc.source | Scopus | |
dc.subject | Aesthetics | |
dc.subject | Classification | |
dc.subject | Saliency | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1109/ICIP.2009.5413825 | |
dc.description.sourcetitle | Proceedings - International Conference on Image Processing, ICIP | |
dc.description.page | 997-1000 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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