Automated Aesthetic Analysis of Photographic Images, IEEE Transactions on Visualization and Computer Graph- ics, 2014. ,
DOI : 10.1109/TVCG.2014.2325047
LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.1-39, 2011. ,
DOI : 10.1145/1961189.1961199
The blur effect: perception and estimation with a new no-reference perceptual blur metric, Human Vision and Electronic Imaging XII, 2007. ,
DOI : 10.1117/12.702790
URL : https://hal.archives-ouvertes.fr/hal-00232709
Studying Aesthetics in Photographic Images Using a Computational Approach, Computer VisionECCV, 2006. ,
DOI : 10.1007/11744078_23
Aesthetic Image Classification for Autonomous Agents, 2010 20th International Conference on Pattern Recognition, pp.3452-3455, 2010. ,
DOI : 10.1109/ICPR.2010.843
High level describable attributes for predicting aesthetics and interestingness, CVPR 2011, pp.1657-1664, 2011. ,
DOI : 10.1109/CVPR.2011.5995467
Challenges of finding aesthetically pleasing images, 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), pp.4-7, 2013. ,
DOI : 10.1109/WIAMIS.2013.6616162
Measuring colorfulness in natural images, Human Vision and Electronic Imaging VIII, pp.87-95, 2003. ,
DOI : 10.1117/12.477378
Single Image Haze Removal Using Dark Channel Prior, IEEE transactions on pattern analysis and machine intelligence, 2010. ,
Automatic aesthetic value assessment in photographic images, 2010 IEEE International Conference on Multimedia and Expo, pp.920-925, 2010. ,
DOI : 10.1109/ICME.2010.5582588
The design of highlevel features for photo quality assessment, Computer Vision and Pattern Recognition, pp.419-426, 2006. ,
Evaluating visual aesthetics in photographic portraiture, Computational Aesthetics in Graphics, Visualization and Imaging, pp.1-8, 2012. ,
Towards aesthetics, Proceedings of the international conference on Multimedia, MM '10, pp.10-13, 2010. ,
DOI : 10.1145/1873951.1874089
Photo Rating of Facial Pictures based on Image Segmentation, Proceedings of the 9th Int. Conf . on computer Vision Theory and Applications, pp.329-336, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-00925436
Photo and Video Quality Evaluation: Focusing on the Subject, Computer VisionEC- CV, pp.386-399, 2008. ,
DOI : 10.1007/978-3-540-88690-7_29
Aesthetic quality assessment of headshots, 55th International Symposium ELMAR, number September, pp.25-27, 2013. ,
´ Evaluation automatique de la qualité esthétique des photographiesàphotographies`photographiesà l'aide de descripteurs d'images génériques, Reconnaissance des Formes et Intelligence Artificielle (RFI- A), 2012. ,
A- VA: A large-scale database for aesthetic visual analysis, Computer Vision and Pattern Recognition, pp.2408-2415, 2012. ,
Evaluating photo aesthetics using machine learning, Data Mining and Data Warehouses, pp.4-7, 2012. ,
Theoretical and empirical analysis of ReliefF and RReliefF, Machine Learning, vol.53, issue.1/2, pp.23-69, 2003. ,
DOI : 10.1023/A:1025667309714
Content-Based Photo Quality Assessment, IEEE Transactions on Multimedia, vol.15, issue.8, pp.1930-1943, 2013. ,
DOI : 10.1109/TMM.2013.2269899
Full Reference Image Quality Assessment Based on Saliency Map Analysis, Journal of Imaging Science and Technology, vol.54, issue.3, pp.1-21, 2010. ,
DOI : 10.2352/J.ImagingSci.Technol.2010.54.3.030503
URL : https://hal.archives-ouvertes.fr/ujm-00494091
Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.511-518, 2001. ,
DOI : 10.1109/CVPR.2001.990517
First Impressions, Psychological Science, vol.15, issue.7, pp.592-598, 2006. ,
DOI : 10.1037/0003-066X.35.2.151
Saliency-enhanced image aesthetics class prediction, 16th IEEE International Conference on Image Processing, pp.997-1000, 2009. ,