SceneMaker: Multimodal Visualisation of Natural Language Film Scripts

  • Eva Hanser
  • Paul Mc Kevitt
  • Tom Lunney
  • Joan Condell
  • Minhua Ma
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6279)

Abstract

Producing plays, films or animations is a complex and expensive process involving various professionals and media. Our proposed software system, SceneMaker, aims to facilitate this creative process by automatically interpreting natural language film scripts and generating multimodal, animated scenes from them. During the generation of the story content, SceneMaker gives particular attention to emotional aspects and their reflection in fluency and manner of actions, body posture, facial expressions, speech, scene composition, timing, lighting, music and camera work. Related literature and software on Natural Language Processing, in particular textual affect sensing, affective embodied agents, visualisation of 3D scenes and digital cinematography are reviewed. In relation to other work, SceneMaker follows a genre-specific text-to-animation methodology which combines all relevant expressive modalities and is made accessible via web-based and mobile platforms. In conclusion, SceneMaker will enhance the communication of creative ideas providing quick pre-visualisations of scenes.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Eva Hanser
    • 1
  • Paul Mc Kevitt
    • 1
  • Tom Lunney
    • 1
  • Joan Condell
    • 1
  • Minhua Ma
    • 2
  1. 1.School of Computing & Intelligent Systems, Faculty of Computing & EngineeringUniversity of Ulster, MageeDerryNorthern Ireland
  2. 2.School of Computing, Faculty of Business, Computing and LawUniversity of DerbyDerbyEngland

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