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Video Data Exploration for Film Production and User Study Analysis

dc.contributor.authorSeigel, Jake
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Computer Scienceen_US
dc.contributor.departmentFaculty of Computer Scienceen_US
dc.contributor.ethics-approvalReceiveden_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorDr. Qigang Gaoen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerKirstie Hawkeyen_US
dc.contributor.thesis-readerDerek Reillyen_US
dc.contributor.thesis-supervisorStephen Brooksen_US
dc.date.accessioned2012-04-16T15:03:02Z
dc.date.available2012-04-16T15:03:02Z
dc.date.defence2012-03-08
dc.date.issued2012-04-16
dc.description.abstractThis work provides visualizations for digital video management in two different problem domains that have significant commonalities: digital film production (“Bin Explorer”) and user study interview analysis (“Interview Explorer”). The system uses speech recognition software to align a written script to a collection of video footage. For the digital film domain, this means that film editors can efficiently scan through large video “bins” in a meaningful way. Alternatively, the modified version of the software, “Interview Explorer”, offers a novel approach to interview analysis using speech recognition. Additionally, a formative evaluation of the software was conducted. Feedback collected from the participants showed that participants thought the tool offered a better alternative to scanning through the raw interview recordings.en_US
dc.identifier.urihttp://hdl.handle.net/10222/14650
dc.language.isoen_USen_US
dc.titleVideo Data Exploration for Film Production and User Study Analysisen_US

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