@inproceedings{oai:repo.lib.tut.ac.jp:00001317,
 author = {Mukai, Tomohiko and Kuriyama, Shigeru and 向井, 智彦 and 栗山, 繁},
 book = {Proceedings of the twenty-second Annual Conference on Computer Animation and Social Agents (CASA 2009) (CTIT Workshop Proceedings Series WP09-02)},
 month = {},
 note = {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.},
 pages = {45--48},
 publisher = {University of Twente},
 title = {Generating Concise Rules for Retrieving Human Motions from Large Datasets},
 year = {2009}
}