VideoHandles: Searching through action camera videos by replicating hand gestures

• Current video review techniques are unsuitable for action-camera video.
• We explore example action-cam footage and highlight usage styles.
• We propose 2 video navigation styles; prospective tagging and retrospective search.
• We detail a technique to support action-camera video search by replicating gestures.

We present a detailed exploration of VideoHandles, a novel interaction technique to support rapid review of wearable video camera data by re-performing gestures as a search query. The availability of wearable video capture devices has led to a significant increase in activity logging across a range of domains. However, searching through and reviewing footage for data curation can be a laborious and painstaking process. We showcase the use of gestures as search queries to support review and navigation of video data. By exploring example action-camera footage across a range of activities, we propose two video data navigation styles using gestures: prospective gesture tagging and retrospective gesture searching. This paper builds on our earlier VideoHandles work, reporting details of our interaction design and implementation, and presenting two additional evaluations. We demonstrate that VideoHandles is a viable interaction technique, returning promising results in its prototype form.

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