Research Article
SceneMaker: Creative Technology for Digital StoryTelling
@INPROCEEDINGS{10.1007/978-3-319-55834-9_4, author={Murat Akser and Brian Bridges and Giuliano Campo and Abbas Cheddad and Kevin Curran and Lisa Fitzpatrick and Linley Hamilton and John Harding and Ted Leath and Tom Lunney and Frank Lyons and Minhua Ma and John Macrae and Tom Maguire and Aiden McCaughey and Eileen McClory and Victoria McCollum and Paul Mc Kevitt and Adam Melvin and Paul Moore and Eleanor Mulholland and Karla Mu\`{o}oz and Greg O’Hanlon and Laurence Roman}, title={SceneMaker: Creative Technology for Digital StoryTelling}, proceedings={Interactivity, Game Creation, Design, Learning, and Innovation. 5th International Conference, ArtsIT 2016, and First International Conference, DLI 2016, Esbjerg, Denmark, May 2--3, 2016, Proceedings}, proceedings_a={ARTSIT \& DLI}, year={2017}, month={3}, keywords={SceneMaker Natural language processing Speech processing Artificial intelligence (AI) Affective computing Computer graphics Cinematography 3D visualisation Digital storytelling Storyboards Film Drama Dance Music technology Design}, doi={10.1007/978-3-319-55834-9_4} }- Murat Akser
Brian Bridges
Giuliano Campo
Abbas Cheddad
Kevin Curran
Lisa Fitzpatrick
Linley Hamilton
John Harding
Ted Leath
Tom Lunney
Frank Lyons
Minhua Ma
John Macrae
Tom Maguire
Aiden McCaughey
Eileen McClory
Victoria McCollum
Paul Mc Kevitt
Adam Melvin
Paul Moore
Eleanor Mulholland
Karla Muñoz
Greg O’Hanlon
Laurence Roman
Year: 2017
SceneMaker: Creative Technology for Digital StoryTelling
ARTSIT & DLI
Springer
DOI: 10.1007/978-3-319-55834-9_4
Abstract
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, , 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.
