VideoHandles: Searching through action camera videos by replicating hand gestures

Jarrod Knibbe*, Sue Ann Seah, Mike Fraser

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

2 Citations (Scopus)

Abstract

Abstract 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.

Original languageEnglish
Article number2544
Pages (from-to)99-106
Number of pages8
JournalComputers & Graphics
Volume48
DOIs
Publication statusPublished - 1 Jun 2015

Keywords

  • Action Camera
  • Gestures
  • Video Search
  • Wearable Camera

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