SceneMaker: Creative technology for digital storytellingShow others and affiliations
2018 (English)In: Lect. Notes Inst. Comput. Sci. Soc. Informatics Telecommun. Eng. / [ed] Brooks A.L.,Brooks E., Springer Verlag , 2018, Vol. 196, p. 29-38Conference paper, Published paper (Refereed)
Abstract [en]
The School of Creative Arts & Technologies at Ulster University (Magee) has brought together the subject of computing with creative technologies, cinematic arts (film), drama, dance, music and design in terms of research and education. We propose here the development of a flagship computer software platform, SceneMaker, acting as a digital laboratory workbench for integrating and experimenting with the computer processing of new theories and methods in these multidisciplinary fields. We discuss the architecture of SceneMaker and relevant technologies for processing within its component modules. SceneMaker will enable the automated production of multimodal animated scenes from film and drama scripts or screenplays. SceneMaker will highlight affective or emotional content in digital storytelling with particular focus on character body posture, facial expressions, speech, non-speech audio, scene composition, timing, lighting, music and cinematography. Applications of SceneMaker include automated simulation of productions and education and training of actors, screenwriters and directors. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017.
Place, publisher, year, edition, pages
Springer Verlag , 2018. Vol. 196, p. 29-38
Series
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, ISSN 1867-8211
Keywords [en]
3D visualisation, Affective computing, Artificial intelligence (AI), Cinematography, Computer graphics, Dance, Design, Digital storytelling, Drama, Film, Music technology, Natural language processing, SceneMaker, Speech processing, Storyboards, Arts computing, Audio acoustics, Computation theory, Computer games, Films, Human computer interaction, Natural language processing systems, Three dimensional computer graphics, Music technologies, Engineering education
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-14086DOI: 10.1007/978-3-319-55834-9_4ISI: 000425355100004Scopus ID: 2-s2.0-85015959988ISBN: 9783319558332 (print)OAI: oai:DiVA.org:bth-14086DiVA, id: diva2:1087228
Conference
5th International Conference on Arts and Technology, ArtsIT 2016 and 1st International Conference on Design, Learning and Innovation, DLI, Esbjerg, May 2016
Part of project
Bigdata@BTH- Scalable resource-efficient systems for big data analytics, Knowledge Foundation2017-04-062017-04-062021-05-05Bibliographically approved