Saliency-enhanced image aesthetics class prediction
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 glob...
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Published in | 2009 16th IEEE International Conference on Image Processing (ICIP) pp. 997 - 1000 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.11.2009
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISBN: | 9781424456536 1424456533 |
ISSN: | 1522-4880 2381-8549 |
DOI: | 10.1109/ICIP.2009.5413825 |