Aesthetics in Social Media

[1]  Tao Xiang,et al.  Interestingness Prediction by Robust Learning to Rank , 2014, ECCV.

[2]  Nuria Oliver,et al.  Towards Category-Based Aesthetic Models of Photographs , 2012, MMM.

[3]  Thorsten Strufe,et al.  Profile popularity in a business-oriented online social network , 2010, SNS '10.

[4]  Virgílio A. F. Almeida,et al.  The impact of visual attributes on online image diffusion , 2014, WebSci '14.

[5]  R.M. Haralick,et al.  Statistical and structural approaches to texture , 1979, Proceedings of the IEEE.

[6]  Allan Hanbury,et al.  Affective image classification using features inspired by psychology and art theory , 2010, ACM Multimedia.

[7]  Bernard Mérialdo,et al.  Where is the beauty?: retrieving appealing VideoScenes by learning Flickr-based graded judgments , 2012, ACM Multimedia.

[8]  Luca Chiarandini,et al.  Image ranking based on user browsing behavior , 2012, SIGIR '12.

[9]  Vicente Ordonez,et al.  High level describable attributes for predicting aesthetics and interestingness , 2011, CVPR 2011.

[10]  Nuria Oliver,et al.  The role of tags and image aesthetics in social image search , 2009, WSM '09.

[11]  P. Valdez,et al.  Effects of color on emotions. , 1994, Journal of experimental psychology. General.

[12]  Masashi Nishiyama,et al.  Aesthetic quality classification of photographs based on color harmony , 2011, CVPR 2011.

[13]  José San Pedro,et al.  Ranking and classifying attractiveness of photos in folksonomies , 2009, WWW '09.

[14]  Daniele Quercia,et al.  In the Mood for Being Influential on Twitter , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

[15]  Gabriela Csurka,et al.  Assessing the aesthetic quality of photographs using generic image descriptors , 2011, 2011 International Conference on Computer Vision.

[16]  Rongrong Ji,et al.  Large-scale visual sentiment ontology and detectors using adjective noun pairs , 2013, ACM Multimedia.

[17]  Zhenyang Wu,et al.  Natural color image enhancement and evaluation algorithm based on human visual system , 2006, Comput. Vis. Image Underst..

[18]  Nishanth R. Sastry,et al.  Predicting Pinterest: Automating a Distributed Human Computation , 2015, WWW.

[19]  Daniel M. Romero,et al.  Influence and passivity in social media , 2010, ECML/PKDD.

[20]  Raffay Hamid,et al.  What makes an image popular? , 2014, WWW.

[21]  Charu C. Aggarwal,et al.  Ranking in heterogeneous social media , 2014, WSDM.

[22]  Xiaoou Tang,et al.  Photo and Video Quality Evaluation: Focusing on the Subject , 2008, ECCV.

[23]  Joemon M. Jose,et al.  "Nobody comes here anymore, it's too crowded"; Predicting Image Popularity on Flickr , 2014, ICMR.

[24]  Naila Murray,et al.  AVA: A large-scale database for aesthetic visual analysis , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[25]  Brian D. Davison,et al.  Predicting popular messages in Twitter , 2011, WWW.

[26]  Mubarak Shah,et al.  A framework for photo-quality assessment and enhancement based on visual aesthetics , 2010, ACM Multimedia.

[27]  Luc Van Gool,et al.  Visual interestingness in image sequences , 2013, MM '13.

[28]  James Zijun Wang,et al.  RAPID: Rating Pictorial Aesthetics using Deep Learning , 2014, ACM Multimedia.

[29]  Miriam Redi,et al.  The beauty of capturing faces: Rating the quality of digital portraits , 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

[30]  A. Vespignani,et al.  Competition among memes in a world with limited attention , 2012, Scientific Reports.

[31]  Eric Gilbert,et al.  Faces engage us: photos with faces attract more likes and comments on Instagram , 2014, CHI.

[32]  Mirjam Wattenhofer,et al.  YouTube around the world: geographic popularity of videos , 2012, WWW.

[33]  Ed H. Chi,et al.  Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network , 2010, 2010 IEEE Second International Conference on Social Computing.