2005
DOI: 10.1007/978-3-540-30568-2_3
|View full text |Cite
|
Sign up to set email alerts
|

Meeting Modelling in the Context of Multimodal Research

Abstract: Abstract. This paper presents a framework for corpus based multimodal research. Part of this framework is applied in the context of meeting modelling. A generic model for different aspects of meetings is discussed. This model leads to a layered description of meetings where each layer adds a level of interpretation for distinct aspects based on information provided by lower layers. This model should provide a starting point for selecting annotation schemes for layers of the meeting and for defining a hierarchy… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2006
2006
2014
2014

Publication Types

Select...
3
2
1

Relationship

3
3

Authors

Journals

citations
Cited by 12 publications
(11 citation statements)
references
References 16 publications
0
11
0
Order By: Relevance
“…Observation of these recordings leads to descriptions of observable events (body movements, facial expressions, speech, etc.). These observations can be interpreted on progressively more complicated levels (see also Reidsma et al 2005). The right hand side depicts the simulation process.…”
Section: Meetings In Virtual Realitymentioning
confidence: 95%
“…Observation of these recordings leads to descriptions of observable events (body movements, facial expressions, speech, etc.). These observations can be interpreted on progressively more complicated levels (see also Reidsma et al 2005). The right hand side depicts the simulation process.…”
Section: Meetings In Virtual Realitymentioning
confidence: 95%
“…Regarding influence, existing approaches assume that (1) this high-level concept can potentially be deduced from low and mid-level signal observations [23], and (2) such observations present regularities (patterns) that models for recognition and discovery are able to extract. Basu et al [4] described an approach for automatic discovery of influence, in a multi-sensor lounge room where people played interactive debating games, using the influence model.…”
Section: Computational Approachesmentioning
confidence: 99%
“…The corpus based framework in [8] describes how the meetings are modeled in layers, and how the annotation could be used to enhance significantly in meeting recognition. The work done by [9] in this area is highly related with our work.…”
Section: Related Workmentioning
confidence: 99%