dc.contributor.author | Seigel, Jake | |
dc.date.accessioned | 2012-04-16T15:03:02Z | |
dc.date.available | 2012-04-16T15:03:02Z | |
dc.date.issued | 2012-04-16 | |
dc.identifier.uri | http://hdl.handle.net/10222/14650 | |
dc.description.abstract | This 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.language.iso | en_US | en_US |
dc.title | Video Data Exploration for Film Production and User Study Analysis | en_US |
dc.date.defence | 2012-03-08 | |
dc.contributor.department | Faculty of Computer Science | en_US |
dc.contributor.degree | Master of Computer Science | en_US |
dc.contributor.external-examiner | n/a | en_US |
dc.contributor.graduate-coordinator | Dr. Qigang Gao | en_US |
dc.contributor.thesis-reader | Kirstie Hawkey | en_US |
dc.contributor.thesis-reader | Derek Reilly | en_US |
dc.contributor.thesis-supervisor | Stephen Brooks | en_US |
dc.contributor.ethics-approval | Received | en_US |
dc.contributor.manuscripts | Not Applicable | en_US |
dc.contributor.copyright-release | Not Applicable | en_US |