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- W2033471729 abstract "This paper proposes a method for retrieving human motion data with concise retrieval rules based on the spatio-temporal features of motion appearance. Our method first converts motion clip into a form of clausal language that represents geometrical relations between body parts and their temporal relationship. A retrieval rule is then learned from the set of manually classified examples using inductive logic programming (ILP). ILP automatically discovers the essential rule in the same clausal form with a user-defined hypothesis-testing procedure. All motions are indexed using this clausal language, and the desired clips are retrieved by subsequence matching using the rule. Such rule-based retrieval offers reasonable performance and the rule can be intuitively edited in the same language form. Consequently, our method enables efficient and flexible search from a large dataset with simple query language." @default.
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- W2033471729 date "2010-01-01" @default.
- W2033471729 modified "2023-09-25" @default.
- W2033471729 title "Generating Concise Rules for Human Motion Retrieval" @default.
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- W2033471729 doi "https://doi.org/10.1587/transinf.e93.d.1636" @default.
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