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VACE Multimodal Meeting Corpus
Published on Feb 25, 20073665 Views
In this paper, we report on the infrastructure we have de- veloped to support our research on multimodal cues for understanding meetings.With our focus on multimodality, we investigate the interaction
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VACE Multimodal Meeting Corpus Lei Chen, Travis Rose, Fey Perill, Xu Han, Jilin Tu, Zhongquian Huang, Mary Harper, Francis Quek, David McNeill, Ronald Tuttle, and Thomas Huang00:06
Corpus Rationale00:58
Why Multimodal Language Analysis?01:54
Multimodal Language Example02:46
Embodied Communicative Behavior04:36
In a Nutshell06:36
ARDA/VACE Program09:07
From Video to Information: Cross-Modal Analysis for Planning Meetings10:04
Team12:10
Overarching Approach12:57
Scenarios13:49
Scenarios (cont’d)14:52
Scenario Development 15:01
Meulaboh, Indonesia15:10
Corpus Assembly15:52
Data Acquisition & Processing15:55
Meeting Room and Camera Configuration16:04
Cam116:09
Global & Pairwise Camera Calibration16:15
VICON Motion Capture16:33
VICON Motion Capture16:54
Speech Processing Tasks17:00
Audio Processing17:08
VACE Metadata Approach17:37
Data Collection Status18:20
Some Multimodal Meeting Room Results18:24
Gaze - NIST July 29, 2003 Data18:27
Gaze - AFIT data20:01
F-formation analysis20:28
Summary20:29