Saliency-enhanced image aesthetics class prediction
Inhaltsverzeichnis
Reference
Wong, L., Low, K.: Saliency-enhanced image aesthetics class prediction. In: ICIP 2009, pp. 997–1000. IEEE, Los Alamitos (2009).
DOI
http://dx.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.
Extended Abstract
Bibtex
Used References
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Links
Full Text
https://www.comp.nus.edu.sg/~lowkl/publications/wonglk_icip2009.pdf
