%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{zhang-rr-05-31b,
         author = {Al-Hames, Marc and Dielmann, Alfred and Gatica-Perez, Daniel and Reiter, Stephan and Renals, Steve and Zhang, Dong},
       projects = {Idiap},
          title = {{Multimodal Integration for Meeting Group Action Segmentation and Recognition}},
      booktitle = {MLMI},
           year = {2005},
           note = {IDIAP-RR 05-31},
       crossref = {zhang-rr-05-31},
       abstract = {We address the problem of segmentation and recognition of sequences of multimodal human interactions in meetings. These interactions can be seen as a rough structure of a meeting, and can be used either as input for a meeting browser or as a first step towards a higher semantic analysis of the meeting. A common lexicon of multimodal group meeting actions, a shared meeting data set, and a common evaluation procedure enable us to compare the different approaches. We compare three different multimodal feature sets and four modelling infrastructures: a higher semantic feature approach, multi-layer HMMs, a multi-stream DBN, as well as a multi-stream mixed-state DBN for disturbed data.},
            pdf = {https://publications.idiap.ch/attachments/reports/2005/mlmi-05-joint.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2005/rr-05-31.ps.gz},
ipdmembership={vision},
}



crossreferenced publications: 
@TECHREPORT{zhang-rr-05-31,
         author = {Al-Hames, Marc and Dielmann, Alfred and Gatica-Perez, Daniel and Reiter, Stephan and Renals, Steve and Zhang, Dong},
       projects = {Idiap},
          title = {{Multimodal Integration for Meeting Group Action Segmentation and Recognition}},
           type = {Idiap-RR},
         number = {Idiap-RR-31-2005},
           year = {2005},
    institution = {IDIAP},
        address = {Martigny, Switzerland},
           note = {Published in ``MLMI'', July, 2005},
       abstract = {We address the problem of segmentation and recognition of sequences of multimodal human interactions in meetings. These interactions can be seen as a rough structure of a meeting, and can be used either as input for a meeting browser or as a first step towards a higher semantic analysis of the meeting. A common lexicon of multimodal group meeting actions, a shared meeting data set, and a common evaluation procedure enable us to compare the different approaches. We compare three different multimodal feature sets and four modelling infrastructures: a higher semantic feature approach, multi-layer HMMs, a multi-stream DBN, as well as a multi-stream mixed-state DBN for disturbed data.},
            pdf = {https://publications.idiap.ch/attachments/reports/2005/rr-05-31.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2005/rr-05-31.ps.gz},
ipdinar={2005},
ipdmembership={vision},
language={English},
}