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When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.CMN.2016.3
URN: urn:nbn:de:0030-drops-67042
URL: http://drops.dagstuhl.de/opus/volltexte/2016/6704/
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Mani, Inderjeet

Animation Motion in NarrativeML

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OASIcs-CMN-2016-3.pdf (1.0 MB)


Abstract

This paper describes qualitative spatial representations relevant to cartoon motion incorporated into NarrativeML, an annotation scheme intended to capture some of the core aspects of narrative. These representations are motivated by linguistic distinctions drawn from cross-linguistic studies. Motion is modeled in terms of transitions in spatial configurations, using an expressive dynamic logic with the manner and path of motion being derived from a few basic primitives. The manner is elaborated to represent properties of motion that bear on character affect. Such representations can potentially be used to support cartoon narrative summarization and question-answering. The paper discusses annotation challenges, and the use of computer vision to help in annotation. Work is underway on annotating a cartoon corpus in terms of this scheme.

BibTeX - Entry

@InProceedings{mani:OASIcs:2016:6704,
  author =	{Inderjeet Mani},
  title =	{{Animation Motion in NarrativeML}},
  booktitle =	{7th Workshop on Computational Models of Narrative (CMN 2016)},
  pages =	{3:1--3:16},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-020-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{53},
  editor =	{Ben Miller and Antonio Lieto and R{\'e}mi Ronfard and Stephen G. Ware and Mark A. Finlayson},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6704},
  URN =		{urn:nbn:de:0030-drops-67042},
  doi =		{10.4230/OASIcs.CMN.2016.3},
  annote =	{Keywords: Cinematography, Motion, Qualitative Reasoning, Narrative, NarrativeML}
}

Keywords: Cinematography, Motion, Qualitative Reasoning, Narrative, NarrativeML
Seminar: 7th Workshop on Computational Models of Narrative (CMN 2016)
Issue Date: 2016
Date of publication: 30.09.2016


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