Video Data Exploration for Film Production and User Study Analysis
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Seigel, Jake
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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.