%Aigaion2 BibTeX export from Idiap Publications
%Thursday 21 November 2024 04:53:40 PM

@INPROCEEDINGS{zhang-rr-04-09b,
         author = {Zhang, Dong and Gatica-Perez, Daniel and Bengio, Samy and McCowan, Iain A. and Lathoud, Guillaume},
       projects = {Idiap},
          title = {Modeling Individual and Group Actions in Meetings: a Two-Layer HMM Framework},
      booktitle = {the Second IEEE Workshop on Event Mining: Detection and Recognition of Events in Video, In Association with CVPR},
           year = {2004},
           note = {IDIAP-RR 04-09},
       crossref = {zhang-rr-04-09},
       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.},
            pdf = {https://publications.idiap.ch/attachments/reports/2004/zhang-cvpr-04.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2004/rr-04-09.ps.gz},
ipdmembership={vision},
}



crossreferenced publications: 
@TECHREPORT{zhang-rr-04-09,
         author = {Zhang, Dong and Gatica-Perez, Daniel and Bengio, Samy and McCowan, Iain A. and Lathoud, Guillaume},
       projects = {Idiap},
          title = {{Modeling Individual and Group Actions in Meetings: a Two-Layer HMM Framework}},
           type = {Idiap-RR},
         number = {Idiap-RR-09-2004},
           year = {2004},
    institution = {IDIAP},
        address = {Martigny, Switzerland},
           note = {Published in ``the Second IEEE Workshop on Event Mining: Detection and Recognition of Events in Video, In Association with CVPR'', June, 2004},
       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.},
            pdf = {https://publications.idiap.ch/attachments/reports/2004/rr-04-09.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2004/rr-04-09.ps.gz},
ipdinar={2004},
ipdmembership={vision},
language={English},
}