Presentation 2014-12-18
A Hybrid Systems Approach to Modeling and Learning Multimedia Timing Structures
Hiroaki KAWASHIMA,
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Abstract(in English) Capturing dynamic events of human body motion, facial action, and speech, via sensors, e.g., cameras and microphones, we can obtain a variety of temporal data. To model and analyze the dynamics of captured targets from the data, we introduce a method to utilize "hybrid systems." We here use a particular model of hybrid systems that switches several dynamical systems by the upper-level discrete-event system (automaton). If target dynamics can be represented by a set of simple primitives, a model-based clustering algorithm can automatically segment and estimate each of the primitive dynamic models. Besides, an identified model can generate signals similar to given training data. In this report, we show some applications that utilize these features, such as facial-expression analysis and multimedia timing modeling.
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Keyword(in English) Hybrid system / linear dynamical system / timing / facial expression / audio-visual integration
Paper # SIS2014-78
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Committee SIS
Conference Date 2014/12/11(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Hybrid Systems Approach to Modeling and Learning Multimedia Timing Structures
Sub Title (in English)
Keyword(1) Hybrid system
Keyword(2) linear dynamical system
Keyword(3) timing
Keyword(4) facial expression
Keyword(5) audio-visual integration
1st Author's Name Hiroaki KAWASHIMA
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
Date 2014-12-18
Paper # SIS2014-78
Volume (vol) vol.114
Number (no) 370
Page pp.pp.-
#Pages 6
Date of Issue