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Rule-based Retrieval of Human Motion Data Using Inductive Logic Programming Mukai, Tomohiko Wakisaka, Ken-ichi Kuriyama, Shigeru 向井, 智彦 脇坂, 健一 栗山, 繁 (C) ACM 2007. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings – SCA 2007 : ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2007, Posters and Demos, pp.22-23 motion retrieval geometric feature inductive logic programming This paper proposes a novel method for automatically classifying and retrieving motions based on spatio-temporal features of motion appearance. Our method first converts a motion data into a form of clausal language that represents geometrical relations between human body parts and their temporal relations. A classification rule is then learned from the minimal set of manually classified examples using inductive logic programming. We introduce a two-step search algorithm to retrieve motion segments from the motion database, which uses two types of classification rules that are discovered by different learning models. Our method allows robust and efficient retrieval from complex motion sequences with a small number of training data. ACM 2007-08 eng conference paper AM https://repo.lib.tut.ac.jp/records/1348 Proceedings - SCA 2007 : ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2007, Posters and Demos 22 23 https://repo.lib.tut.ac.jp/record/1348/files/2.pdf application/pdf 535.7 kB 2014-06-24