[Invited papers] A Survey on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia

[1]  Kiyoharu Aizawa,et al.  Sketch-based manga retrieval using manga109 dataset , 2015, Multimedia Tools and Applications.

[2]  Ahmed M. Elgammal,et al.  CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms , 2017, ICCC.

[3]  Jun Gao,et al.  Learning to predict the perceived visual quality of photos , 2011, 2011 International Conference on Computer Vision.

[4]  Andrea Vedaldi,et al.  Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[5]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[6]  Luis E. Ortiz,et al.  Chic or Social: Visual Popularity Analysis in Online Fashion Networks , 2014, ACM Multimedia.

[7]  Wei-Ta Chu,et al.  Manga face detection based on deep neural networks fusing global and local information , 2019, Pattern Recognit..

[8]  Björn Stenger,et al.  Enhancing Product Images for Click-Through Rate Improvement , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

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

[10]  Eshref Adali,et al.  Opinion mining and Sentiment Analysis for contextual online-advertisement , 2016, 2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT).

[11]  Jonathon Shlens,et al.  A Learned Representation For Artistic Style , 2016, ICLR.

[12]  Yusuke Tani,et al.  Modeling the Relation between Skin Attractiveness and Physical Characteristics , 2018, MMArt&ACM@ICMR.

[13]  Leon A. Gatys,et al.  Image Style Transfer Using Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  Toshihiko Yamasaki,et al.  Predicting Image Aesthetics using Objects in the Scene , 2018, MMArt&ACM@ICMR.

[15]  Rossano Schifanella,et al.  6 Seconds of Sound and Vision: Creativity in Micro-videos , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[16]  Wei-Ta Chu,et al.  Optimized Comics-Based Storytelling for Temporal Image Sequences , 2015, IEEE Transactions on Multimedia.

[17]  Ming-Sui Lee,et al.  Video Aesthetic Quality Assessment by Temporal Integration of Photo- and Motion-Based Features , 2013, IEEE Transactions on Multimedia.

[18]  Wei-Ta Chu,et al.  Image Style Classification Based on Learnt Deep Correlation Features , 2018, IEEE Transactions on Multimedia.

[19]  Tommy W. S. Chow,et al.  Object-Level Video Advertising: An Optimization Framework , 2017, IEEE Transactions on Industrial Informatics.

[20]  Joost van de Weijer,et al.  An Active Contour Model for Speech Balloon Detection in Comics , 2013, 2013 12th International Conference on Document Analysis and Recognition.

[21]  Yongdong Zhang,et al.  Time Matters: Multi-scale Temporalization of Social Media Popularity , 2016, ACM Multimedia.

[22]  Alex J. Champandard,et al.  Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks , 2016, ArXiv.

[23]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[24]  Sabine Süsstrunk,et al.  Image aesthetic predictors based on weighted CNNs , 2016, 2016 IEEE International Conference on Image Processing (ICIP).

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

[26]  Thomas Brox,et al.  Artistic Style Transfer for Videos , 2016, GCPR.

[27]  Yuzhen Niu,et al.  What Makes a Professional Video? A Computational Aesthetics Approach , 2012, IEEE Transactions on Circuits and Systems for Video Technology.

[28]  Li Fei-Fei,et al.  Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.

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

[30]  Anderson Rocha,et al.  From impressionism to expressionism: Automatically identifying van Gogh's paintings , 2016, 2016 IEEE International Conference on Image Processing (ICIP).

[31]  Kiyoharu Aizawa,et al.  Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity , 2017, IJCAI.

[32]  Toshihiko Yamasaki,et al.  Photo Selection for Family Album using Deep Neural Networks , 2018, MMArt&ACM@ICMR.

[33]  Kiyoharu Aizawa,et al.  FolkPopularityRank: Tag Recommendation for Enhancing Social Popularity using Text Tags in Content Sharing Services , 2017, IJCAI.

[34]  Abhinav Shukla,et al.  Affect Recognition in Ads with Application to Computational Advertising , 2017, ACM Multimedia.

[35]  Alberto Del Bimbo,et al.  Image Popularity Prediction in Social Media Using Sentiment and Context Features , 2015, ACM Multimedia.

[36]  Wei-Ta Chu,et al.  Text Detection in Manga by Deep Region Proposal, Classification, and Regression , 2018, 2018 IEEE Visual Communications and Image Processing (VCIP).

[37]  A. Elgammal.  AI Is Blurring the Definition of Artist , 2019, American Scientist.

[38]  Harish Katti,et al.  CAVVA: Computational Affective Video-in-Video Advertising , 2014, IEEE Transactions on Multimedia.

[39]  Yan Ke,et al.  The Design of High-Level Features for Photo Quality Assessment , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[40]  Rynson W. H. Lau,et al.  A Robust Panel Extraction Method for Manga , 2014, ACM Multimedia.

[41]  Jean-Christophe Burie,et al.  Specific Comic Character Detection Using Local Feature Matching , 2013, 2013 12th International Conference on Document Analysis and Recognition.

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

[43]  Adam Rae,et al.  Prediction of favourite photos using social, visual, and textual signals , 2010, ACM Multimedia.

[44]  James Zijun Wang,et al.  Rating Image Aesthetics Using Deep Learning , 2015, IEEE Transactions on Multimedia.

[45]  Wei-Ta Chu,et al.  Line-Based Drawing Style Description for Manga Classification , 2014, ACM Multimedia.

[46]  Trevor Darrell,et al.  Recognizing Image Style , 2013, BMVC.

[47]  Rynson W. H. Lau,et al.  What characterizes personalities of graphic designs? , 2018, ACM Trans. Graph..

[48]  Frédo Durand,et al.  Learning Visual Importance for Graphic Designs and Data Visualizations , 2017, UIST.

[49]  Wu Liu,et al.  Automatic Generation of Textual Advertisement for Video Advertising , 2018, 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM).

[50]  Min-Chun Hu,et al.  Doodle Master: A Doodle Beautification System Based on Auto-encoding Generative Adversarial Networks , 2018, MMArt&ACM@ICMR.

[51]  Wataru Shimoda,et al.  DeepStyleCam: A Real-Time Style Transfer App on iOS , 2017, MMM.

[52]  Eakta Jain,et al.  A preliminary benchmark of four saliency algorithms on comic art , 2016, 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

[53]  Tat-Seng Chua,et al.  Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model , 2016, ACM Multimedia.

[54]  Yan Kang,et al.  Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication , 2017, AAAI.

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

[56]  Kiyoharu Aizawa,et al.  Object Detection for Comics using Manga109 Annotations , 2018, ArXiv.

[57]  Norimichi Tsumura,et al.  Temporal Course of Neural Processing during Skin Color Perception: An Event-related Potential Study , 2018, MMArt&ACM@ICMR.

[58]  Kiyoharu Aizawa,et al.  Text detection in manga by combining connected-component-based and region-based classifications , 2016, 2016 IEEE International Conference on Image Processing (ICIP).

[59]  Cees Snoek,et al.  Latent Factors of Visual Popularity Prediction , 2015, ICMR.

[60]  Jean-Christophe Burie,et al.  Digital Comics Image Indexing Based on Deep Learning , 2018, J. Imaging.

[61]  Mingda Zhang,et al.  Automatic Understanding of Image and Video Advertisements , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[62]  Kiyoharu Aizawa,et al.  Computer Vision Based and FPRank Based Tag Recommendation for Social Popularity Enhancement , 2018, IUI Companion.

[63]  Babak Saleh,et al.  Learning style similarity for searching infographics , 2015, Graphics Interface.

[64]  James Ze Wang,et al.  Studying Aesthetics in Photographic Images Using a Computational Approach , 2006, ECCV.

[65]  Hiroki Koda,et al.  Colour Perception Characteristics of Women in Menopause , 2018, MMArt&ACM@ICMR.

[66]  Naila Murray,et al.  A deep architecture for unified aesthetic prediction , 2017, ArXiv.

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

[68]  Abhinav Shukla,et al.  Evaluating content-centric vs. user-centric ad affect recognition , 2017, ICMI.