@InProceedings{Milon-FloresOchoGome:2019:GeAuSu,
               author = "Milon-Flores, Daniela F. and Ochoa-Luna, Jose and Gomez-Nieto, 
                         Erick",
          affiliation = "Department of Computer Science, Universidad Cat{\'o}lica San 
                         Pablo, Arequipa, Peru and Department of Computer Science, 
                         Universidad Cat{\'o}lica San Pablo, Arequipa, Peru and Center for 
                         the Study of Violence, University of Sao Paulo, Sao Paulo-SP, 
                         Brazil",
                title = "Generating audiovisual summaries from literary works using emotion 
                         analysis",
            booktitle = "Proceedings...",
                 year = "2019",
               editor = "Oliveira, Luciano Rebou{\c{c}}as de and Sarder, Pinaki and Lage, 
                         Marcos and Sadlo, Filip",
         organization = "Conference on Graphics, Patterns and Images, 32. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "audiovisual summaries,emotion analysis,musical 
                         composition,graph-based animation.",
             abstract = "Literature work reading is an essential activity for human 
                         communication and learning. However, several relevant tasks as 
                         selection, filter or analyze in a high number of such works become 
                         complex. For dealing with this requirement, several strategies are 
                         proposed to rapidly inspect substantial amounts of text, or 
                         retrieve information previously read, exploiting graphical, 
                         textual or auditory resources. In this paper, we propose a 
                         methodology to generate audiovisual summaries by the combination 
                         of emotion-based music composition and graph-based animation. We 
                         applied natural language processing algorithms for extracting 
                         emotions and characters involved in literary work. Then, we use 
                         the extracted information to compose a musical piece to accompany 
                         the visual narration of the story aiming to convey the extracted 
                         emotion. For that, we set important musical features as chord 
                         progressions, tempo, scale, and octaves, and we assign a set of 
                         suitable instruments. Moreover, we animate a graph to sum up the 
                         dialogues between the characters in the literary work. Finally, to 
                         assess the quality of our methodology, we conducted two user 
                         studies that reveal that our proposal provides a high level of 
                         understanding over the content of the literary work besides 
                         bringing a pleasant experience to the user.",
  conference-location = "Rio de Janeiro, RJ, Brazil",
      conference-year = "28-31 Oct. 2019",
                  doi = "10.1109/SIBGRAPI.2019.00013",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2019.00013",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/3U34M8B",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/3U34M8B",
           targetfile = "paper.pdf",
        urlaccessdate = "2024, Apr. 28"
}