Please use this identifier to cite or link to this item:
|Title:||Saliency-enhanced image aesthetics class prediction|
|Source:||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. https://doi.org/10.1109/ICIP.2009.5413825|
|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.|
|Source Title:||Proceedings - International Conference on Image Processing, ICIP|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 13, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.