Trajectory Retrieval Using Similarity Measure According to Link Type between Motion Verbs

Miyoung Cho, Chang Choi, Sicheon You, Minchang Lee, Jonghei Ra, Pankoo Kim
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Abstract

Our main objective is to compare distance measurement for the motion verbs from the cognitive point of view and that of computable point of view. We use motion verbs to represent moving of objects as high-level features from the cognitive point of view. In the previous works, Specially, we focus on antonym relation and not just limit research only on the basic relations (IS_A, PART_OF) in hierarchical model and get suitable weight value (0.7) using correlation coefficient. In this paper, we propose trajectory retrieval using similarity measure according to link type between motion verbs
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基于运动动词间链接类型的相似度度量的轨迹检索
我们的主要目的是从认知的角度和可计算的角度比较运动动词的距离测量。从认知的角度来看,我们用动作动词来表示物体的运动,作为高级特征。在以往的工作中,我们特别关注反义词关系,而不仅仅局限于对层次模型中基本关系(IS_A, PART_OF)的研究,并利用相关系数得到合适的权重值(0.7)。本文根据运动动词之间的链接类型,提出了基于相似性度量的轨迹检索方法
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