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Interactive Search in Video: Navigation With Flick Gestures vs. Seeker-Bars

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MultiMedia Modeling (MMM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9516))

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Abstract

On touch-based devices such as smartphones and tablets users are accustomed to browse through lists and collections by using flick gestures. For video navigation, however, mobile touch devices still use the seeker-bar interaction concept. In this paper, we evaluate the performance of a flick gesture-based video player in direct comparison to a default video player with seeker-bar navigation for the purpose of interactive search in video. We have developed a special video player on a tablet device and performed a user study with 16 users with two different types of interactive search: target/known-item search and scene counting. Our results show that the flick-based video player is less performant than the default video player in terms of search time, but more efficient in finding target scenes and the preferred interface by the vast majority of tested users.

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Acknowledgments

The work was funded by the Federal Ministry for Transport, Innovation and Technology (bmvit) and Austrian Science Fund (FWF): TRP 273-N15, supported by Lakeside Labs GmbH, Klagenfurt, Austria and funded by the European Regional Development Fund and the Carinthian Economic Promotion Fund (KWF) under grant 20214/26336/38165.

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Correspondence to Marco A. Hudelist .

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Schoeffmann, K., Hudelist, M.A., Kaufmann, B., Chromik, K. (2016). Interactive Search in Video: Navigation With Flick Gestures vs. Seeker-Bars. In: Tian, Q., Sebe, N., Qi, GJ., Huet, B., Hong, R., Liu, X. (eds) MultiMedia Modeling. MMM 2016. Lecture Notes in Computer Science(), vol 9516. Springer, Cham. https://doi.org/10.1007/978-3-319-27671-7_31

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  • DOI: https://doi.org/10.1007/978-3-319-27671-7_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27670-0

  • Online ISBN: 978-3-319-27671-7

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