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文章基本信息

  • 标题:Grounding the Lexical Semantics of Verbs in Visual Perception using Force Dynamics and Event Logic
  • 本地全文:下载
  • 作者:J. M. Siskind
  • 期刊名称:Journal of Artificial Intelligence Research
  • 印刷版ISSN:1076-9757
  • 出版年度:2001
  • 卷号:15
  • 页码:31-90
  • 出版社:American Association of Artificial
  • 摘要:This paper presents an implemented system for recognizing the occurrence of events described by simple spatial-motion verbs in short image sequences. The semantics of these verbs is specified with event-logic expressions that describe changes in the state of force-dynamic relations between the participants of the event. An efficient finite representation is introduced for the infinite sets of intervals that occur when describing liquid and semi-liquid events. Additionally, an efficient procedure using this representation is presented for inferring occurrences of compound events, described with event-logic expressions, from occurrences of primitive events. Using force dynamics and event logic to specify the lexical semantics of events allows the system to be more robust than prior systems based on motion profile.
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