A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Design of High-Level Features for Photo Quality Assessment
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Unsupervised segmentation of natural images via lossy data compression
Computer Vision and Image Understanding
Classification of digital photos taken by photographers or home users
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Studying aesthetics in photographic images using a computational approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Learning artistic lighting template from portrait photographs
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Aesthetic classification and sorting based on image compression
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
OSCAR: On-Site Composition and Aesthetics Feedback Through Exemplars for Photographers
International Journal of Computer Vision
Towards category-based aesthetic models of photographs
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Evaluating visual aesthetics in photographic portraiture
CAe '12 Proceedings of the Eighth Annual Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging
Enhancing semantic features with compositional analysis for scene recognition
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Semantic indexing and computational aesthetics: interactions, bridgesand boundaries
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Size does matter: how image size affects aesthetic perception?
Proceedings of the 21st ACM international conference on Multimedia
Proceedings of the 2nd ACM international workshop on Crowdsourcing for multimedia
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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.