Social Network Analysis in Multimedia Indexing: Making Sense of People in Multiparty Recordings
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Summary
It is shown that a strong connection can be established between the content of broadcast data and the social interactions of the individuals involved in the recordings, which suggests that the application of SNA to similar problems could lead to useful contributions in the domain of multimedia content analysis.
- Type
- article
- Published
- 2009-01-01
- Cited by
- 4
- References
- 15
- Access
- Open access
- OpenAlex
- https://openalex.org/W50555676
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6824853
Keywords
Computer science, Search engine indexing, Set (abstract data type), Social network analysis, Domain (mathematical analysis)
References
- Pattern Recognition and Machine Learning
- The AMI meeting corpus
- Social Network Analysis
- Role recognition in multiparty recordings using social affiliation networks and discrete distributions
- Two decades of statistical language modeling: where do we go from here?
- Automatic role recognition in multiparty recordings using social networks and probabilistic sequential models
- The segmentation of multi-channel meeting recordings for automatic speech recognition
- A tutorial on hidden Markov models and selected applications in speech recognition
- Mood and Emotions in Small Groups and Work Teams
- A robust speaker clustering algorithm
- Broadcast news story segmentation using social network analysis and hidden markov models
- Role recognition for meeting participants: an approach based on lexical information and social network analysis
- Social cognition
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