Generating Concise Rules for Human Motion Retrieval
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- MUKAI Tomohiko
- Toyohashi University of Technology
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- WAKISAKA Ken-ichi
- Toyohashi University of Technology
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- KURIYAMA Shigeru
- Toyohashi University of Technology
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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.
Journal
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- IEICE Transactions on Information and Systems
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IEICE Transactions on Information and Systems E93-D (6), 1636-1643, 2010
The Institute of Electronics, Information and Communication Engineers
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Details
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- CRID
- 1390282679356286976
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- NII Article ID
- 10027988092
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- NII Book ID
- AA10826272
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- ISSN
- 17451361
- 09168532
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed