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|Title:||Saliency-enhanced image aesthetics class prediction|
|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. 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|
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