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» The Catchment Feature Model for Multimodal Language Analysis
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ICCV
2003
IEEE
13 years 11 months ago
The Catchment Feature Model for Multimodal Language Analysis
The Catchment Feature Model (CFM) addresses two questions in multimodal interaction: how do we bridge video and audio processing with the realities of human multimodal communicati...
Francis K. H. Quek
CHI
1993
ACM
13 years 10 months ago
A design space for multimodal systems: concurrent processing and data fusion
Multimodal interaction enables the user to employ different modalities such as voice, gesture and typing for communicating with a computer. This paper presents an analysis of the ...
Laurence Nigay, Joëlle Coutaz
ICMI
2004
Springer
151views Biometrics» more  ICMI 2004»
13 years 11 months ago
Multimodal model integration for sentence unit detection
In this paper, we adopt a direct modeling approach to utilize conversational gesture cues in detecting sentence boundaries, called SUs, in video taped conversations. We treat the ...
Mary P. Harper, Elizabeth Shriberg
CIVR
2004
Springer
186views Image Analysis» more  CIVR 2004»
13 years 10 months ago
Video Segmentation Using Hidden Markov Model with Multimodal Features
In this paper, a video segmentation algorithm based on Hidden Markov Model classifier with multimodal feature is proposed. By using Hidden Markov Model classifier with both audio a...
Tae Meon Bae, Sung Ho Jin, Yong Man Ro
AFRIGRAPH
2001
ACM
13 years 10 months ago
A gesture processing framework for multimodal interaction in virtual reality
This article presents a gesture detection and analysis framework for modelling multimodal interactions. It is particulary designed for its use in Virtual Reality (VR) applications...
Marc Erich Latoschik