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Video Lens: Rapid Playback and Exploration of Large Video Collections and Associated Metadata

Abstract

We present Video Lens, a framework which allows users to visualize and interactively explore large collections of videos and associated metadata. The primary goal of the framework is to let users quickly find relevant sections within the videos and play them back in rapid succession. The individual UI elements are linked and highly interactive, supporting a faceted search paradigm and encouraging exploration of the data set. We demonstrate the capabilities and specific scenarios of Video Lens within the domain of professional baseball videos. A user study with 12 participants indicates that Video Lens efficiently supports a diverse range of powerful yet desirable video query tasks, while a series of interviews with professionals in the field demonstrates the framework’s benefits and future potential.

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Associated Researchers

Justin Matejka

Senior Principal Research Scientist, Manager

George Fitzmaurice

Research Fellow, Human Computer Interaction and Visualization
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