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SceneMaker: Intelligent Multimodal Visualisation of Natural Language Scripts

TitleSceneMaker: Intelligent Multimodal Visualisation of Natural Language Scripts
Publication TypeBook Chapter
Year of Publication2010
AuthorsHanser, E, Mc Kevitt, P, Lunney, T, Condell, J
EditorCoyle, L, Freyne, J
Book TitleArtificial Intelligence and Cognitive Science
Series TitleLecture Notes in Computer Science
Volume6206
Pagination144-153
PublisherSpringer
CityBerlin / Heidelberg
ISBN978-3-642-17079-9
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/play scripts and generating multimodal, animated scenes from them. During generation of story content, SceneMaker will give 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 will present 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.

URLhttp://www.infm.ulst.ac.uk/~eva/documents/Eva_confirmation_report.pdf
DOI10.1007/978-3-642-17080-5_17