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			<subfield code="a">REPORT</subfield>
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			<subfield code="a">gatica03a/IDIAP</subfield>
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		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">On automatic annotation of meeting databases</subfield>
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			<subfield code="a">Gatica-Perez, Daniel</subfield>
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			<subfield code="a">McCowan, Iain A.</subfield>
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		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Barnard, Mark</subfield>
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		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Bengio, Samy</subfield>
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		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Bourlard, Hervé</subfield>
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		<datafield tag="856" ind1="4" ind2="0">
			<subfield code="i">EXTERNAL</subfield>
			<subfield code="u">http://publications.idiap.ch/attachments/reports/2003/rr03-06.pdf</subfield>
			<subfield code="x">PUBLIC</subfield>
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		<datafield tag="088" ind1=" " ind2=" ">
			<subfield code="a">Idiap-RR-06-2003</subfield>
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			<subfield code="c">2003</subfield>
			<subfield code="b">IDIAP</subfield>
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			<subfield code="a">In this paper, we discuss meetings as an application domain for multimedia content analysis. Meeting databases are a rich data source suitable for a variety of audio, visual and multi-modal tasks, including speech recognition, people and action recognition, and information retrieval. We specifically focus on the task of semantic annotation of audio-visual (AV) events, where annotation consists of assigning labels (event names) to the data. In order to develop an automatic annotation system in a principled manner, it is essential to have a well-defined task, a standard corpus and an objective performance measure. In this work we address each of these issues to automatically annotate events based on participant interactions.</subfield>
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