A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
A user attention model for video summarization
Proceedings of the tenth ACM international conference on Multimedia
Classifying Images Collected on the World Wide Web
SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
Distinguishing photographs and graphics on the World Wide Web
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
W-Boost and Its Application to Web Image Classification
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Feature selection by maximum marginal diversity: optimality and implications for visual recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
EnjoyPhoto: a vertical image search engine for enjoying high-quality photos
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Ranking web objects from multiple communities
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Saliency-enhanced image aesthetics class prediction
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Learning artistic lighting template from portrait photographs
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Towards computational models of the visual aesthetic appeal of consumer videos
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Semantic analysis and retrieval in personal and social photo collections
Multimedia Tools and Applications
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Aesthetic classification and sorting based on image compression
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
A data-driven approach to understanding skill in photographic composition
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Aesthetic guideline driven photography by robots
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Visual appearance of display ads and its effect on click through rate
Proceedings of the 21st ACM international conference on Information and knowledge management
Intelligent photographing interface with on-device aesthetic quality assessment
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Size does matter: how image size affects aesthetic perception?
Proceedings of the 21st ACM international conference on Multimedia
Where should I stand? Learning based human position recommendation for mobile photographing
Multimedia Tools and Applications
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In this paper, we address a specific image classification task, i.e. to group images according to whether they were taken by photographers or home users. Firstly, a set of low-level features explicitly related to such high-level semantic concept are investigated together with a set of general-purpose low-level features. Next, two different schemes are proposed to find out those most discriminative features and feed them to suitable classifiers: one resorts to boosting to perform feature selection and classifier training simultaneously; the other makes use of the information of the label by Principle Component Analysis for feature re-extraction and feature de-correlation; followed by Maximum Marginal Diversity for feature selection and Bayesian classifier or Support Vector Machine for classification. In addition, we show an application in No-Reference holistic quality assessment as a natural extension of such image classification. Experimental results demonstrate the effectiveness of our methods.