SceneMaker Intelligent Multimodal Visualisation of Natural Language Scripts
SceneMaker: Automatic Visualisation of Screenplays School of Computing & Intelligent Systems Faculty...
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Transcript of SceneMaker: Automatic Visualisation of Screenplays School of Computing & Intelligent Systems Faculty...
SceneMaker:Automatic Visualisation of Screenplays
School of Computing & Intelligent SystemsFaculty of Computing & EngineeringUniversity of Ulster, Magee, Northern Ireland
[email protected], {p.mckevitt, tf.lunney, j.condell}@ulster.ac.uk
Eva Hanser Prof. Paul Mc Kevitt Dr. Tom Lunney Dr. Joan Condell
SCENEMAKER OVERVIEW
• Automatically generate animated scenes from screenplays
AIMS
• Realistic visualisation of emotional aspects
• Well-designed representation through 3D animation, speech, audio and cinematography
• Enhance believability of virtual actors and scene presentation
: AIMS & OBJECTIVES
Input:Screen-play SceneMaker
SystemOutput: Animation
OBJECTIVES
• Inferencing emotions and semantic information within story context
• Common sense, affective and cinematic knowledge reflecting human cognitive reasoning
• Automatic genre recognition from text
• Design, implementation and evaluation of SceneMaker
: AIMS & OBJECTIVES
• Standardized format and language of screenplays
• Automatic access to information on location, timing, props, actors, events, manners, dialogue and camera direction (Jhala 2008)
SEMANTIC TEXT PROCESSING: RELATED PROJECTS
INT. M.I.T. HALLWAY -- NIGHT Lambeau and Tom come around a corner. His P.O.V. reveals a figure in silhouette blazing through the proof on the chalkboard. There is a mop and a bucket beside him. As Lambeau draws closer, reveal that the figure is Will, in his janitor's uniform. There is a look of intense concentration in his eyes.
LAMBEAUExcuse me!
WILL
Oh, I'm sorry.
LAMBEAUWhat're you doing?
WILL
(walking away)I'm sorry.
Screenplay Extract from ‘Good Will Hunting (1997)’
• Reflecting emotions in automatic physical transformation of 3D models
• Manner influences intensity, scale, force, fluency and timing of an action
MODELLING EMOTIONAL BEHAVIOUR
Personality & Emotion Engine(Su et al. 2007)
Greta (Pelachaud 2005)
: RELATED PROJECTS
• WordsEye – Scene composition(Coyne & Sproat 2001)
• ScriptViz – Screenplay visualisation(Liu & Leung 2006)
• CONFUCIUS – Action & speech animation(Ma 2006)
• CAMEO – Cinematic and genre visualisation(Shim & Kang 2008)
VISUALISING 3D SCENES
WordsEye CONFUCIUSScriptViz CAMEO
: RELATED PROJECTS
Animation Player
Animation Player
Script EditorScript Editor
Screen-play
Text & LanguageProcessing
Text & LanguageProcessing
ContextInterpretation
ContextInterpretation
MultimediaGenerationMultimediaGeneration}
Genre
Emotion
Action
}
ARCHITECTURE OF SCENEMAKER: DESIGN AND IMPLEMENTATION
GENRE IDENTIFICATION: DESIGN AND IMPLEMENTATION
GateTokenizer
Film Script
.txt Part-Of-Speech
Gazetteer
Sentence Splitter
WordNet
WordNet-Affect
TaggedFilm Script.xml
Script ElementOntology
Training corporaLocation key-phrases
Training corporaLight key-phrases
ControlledIndexing Free
Indexing
KEA Key-phrase Extractor
Genre LocationOntology
Genre Relevant Locations
Genre LightOntology
Genre Relevant Lighting
Theme
ConceptNet
Emotion Module
Most Dominant Emotions
GenreDirectorNotation(Film Ontology)
Dialogue Length
MotionContent
Film Pace
EVALUATION OF SCENEMAKER
Aspect EvaluationCorrectness of screenplay interpretation
Hand-animating scenes
Effectiveness of output scenes
Existing feature film scenes
Suitability for genre type Unknown scripts categorised by readers
Functionality of interface Testing with drama students and directors
: DESIGN AND IMPLEMENTATION
SUMMARY
SceneMaker
• Heightens expressiveness, naturalness and artistic quality of computer generated animations
• Assists crew on set – directors, actors, camera men, ... – drama students, script writers and advertising agencies
• Mobile user interface for immediate use on set or anywhere
• Animations manually editable
Thank you.
QUESTIONS OR COMMENTS?