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  <event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/271/Automatic-Summarization-of-Laparoscopic-Video">
    <rdfs:label><![CDATA[Automatic Summarization of Laparoscopic Video]]></rdfs:label>
    <event:title><![CDATA[Automatic Summarization of Laparoscopic Video]]></event:title>
    <event:speaker><person:PrincipalFaculty rdf:about="http://ebiquity.umbc.edu/person/html/Michael/A./Grasso/"><person:name><![CDATA[Michael A. Grasso]]></person:name><rdfs:label><![CDATA[Michael A. Grasso]]></rdfs:label></person:PrincipalFaculty></event:speaker>
    <event:startDate rdf:datatype="&xsd;dateTime">2008-11-04T10:30:00-05:00</event:startDate>
    <event:endDate rdf:datatype="&xsd;dateTime">2008-11-04T11:30:00-05:00</event:endDate>
    <event:location><![CDATA[346 ITE]]></event:location>
    <event:abstract><![CDATA[Laparoscopic surgery is a minimally invasive technique with unique training requirements. Video-assisted evaluation is one method that surgical residents can use to demonstrate competence. Automated video summarization can increase the efficiency of evaluations by directing the senior surgeon to key portions of a surgical procedure. We are using image classification techniques to segment videos of laparoscopic cholecystectomies to assist with surgical training and evaluation.]]></event:abstract>
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