Modeling Individual and Group Actions in Meetings with Layered HMMs

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Modeling Individual and Group Actions in Meetings with Layered HMMs (2004)

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by Dong Zhang , Daniel Gatica-Perez , Samy Bengio , Iain McCowan , Guillaume Lathoud

Venue:	IEEE TRANS. ON MULTIMEDIA
Citations:	61 - 10 self

BibTeX

@ARTICLE{Zhang04modelingindividual,
    author = {Dong Zhang and Daniel Gatica-Perez and Samy Bengio and Iain McCowan and Guillaume Lathoud},
    title = {Modeling Individual and Group Actions in Meetings with Layered HMMs},
    journal = {IEEE TRANS. ON MULTIMEDIA},
    year = {2004},
    volume = {8},
    pages = {509--520}
}

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Abstract

We address the problem of recognizing sequences of human interaction patterns in meetings, with the goal of structuring them in semantic terms. The investigated patterns are inherently group-based (defined by the individual activities of meeting participants, and their interplay), and multimodal (as captured by cameras and microphones). By defining a proper set of individual actions, group actions can be modeled as a two-layer process, one that models basic individual activities from low-level audio-visual features, and another one that models the interactions. We propose a two-layer Hidden Markov Model (HMM) framework that implements such concept in a principled manner, and that has advantages over previous works. First, by decomposing the problem hierarchically, learning is performed on low-dimensional observation spaces, which results in simpler models. Second, our framework is easier to interpret, as both individual and group actions have a clear meaning, and thus easier to improve. Third, different HMM models can be used in each layer, to better reflect the nature of each subproblem. Our framework is general and extensible, and we illustrate it with a set of eight group actions, using a public five-hour meeting corpus. Experiments and comparison with a single-layer HMM baseline system show its validity.

Keyphrases

group action layered hmms individual activity two-layer hidden markov model simpler model single-layer hmm baseline system meeting participant human interaction pattern individual action previous work low-dimensional observation space proper set low-level audio-visual feature implement concept clear meaning different hmm model principled manner two-layer process investigated pattern public five-hour meeting corpus semantic term

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