{"type":"ScholarlyArticle","title":"Looking at Mondrian's Victory Boogie-Woogie: What Do I Feel?","authors":[{"name":"Andreza Sartori","slug":"andreza-sartori","given":"Andreza","family":"Sartori","affiliation":""},{"name":"Yan Yan","slug":"yan-yan","given":"Yan","family":"Yan","affiliation":""},{"name":"Gözde Özbal","slug":"gozde-ozbal","given":"Gözde","family":"Özbal","affiliation":""},{"name":"Alkim Almila Akdag Salah","slug":"alkim-almila-akdag-salah","given":"Alkim Almila Akdag","family":"Salah","affiliation":""},{"name":"Albert Ali Salah","slug":"albert-ali-salah","given":"Albert Ali","family":"Salah","affiliation":""},{"name":"Nicu Sebe","slug":"nicu-sebe","given":"Nicu","family":"Sebe","affiliation":""}],"abstract":"Abstract artists use non-figurative elements (i.e. colours, lines, shapes, and textures) to convey emotions and often rely on the titles of their various compositions to generate (or enhance) an emotional reaction in the audience. Several psychological works observed that the metadata (i.e., titles, description and/or artist statements) associated with paintings increase the understanding and the aesthetic appreciation of artworks. In this paper we explore if the same metadata could facilitate the computational analysis of artworks, and reveal what kind of emotional responses they awake. To this end, we employ computer vision and sentiment analysis to learn statistical patterns associated with positive and negative emotions on abstract paintings. We propose a multimodal approach which combines both visual and metadata features in order to improve the machine performance. In particular, we propose a novel joint flexible Schatten p-norm model which can exploit the sharing patterns between visual and textual information for abstract painting emotion analysis. Moreover, we conduct a qualitative analysis on the cases in which metadata help improving the machine performance.","doi":null,"url":"https://ijcai.org/proceedings/2015/355","pdf":"https://ijcai.org/proceedings/2015/0355.pdf","markdown":"https://ijcai.org/proceedings/2015/355.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/355","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Special Track on Artificial Intelligence and the Arts","track":"Special Track on Artificial Intelligence and the Arts","number":355,"pages":{"first":2503,"last":2508},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}