VideoHandles: Replicating gestures to search through action-camera video

Jarrod Knibbe; Sue Ann Seah; Mike Fraser

doi:10.1145/2659766.2659784

VideoHandles: Replicating gestures to search through action-camera video

Jarrod Knibbe
, Sue Ann Seah
, Mike Fraser

Bristol Doctoral College

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

5 Citations (Scopus)

Abstract

We present 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. In this paper we showcase the use of gestures as search queries to support review and navigation of video data. By exploring example self-captured footage across a range of activities, we propose two video data navigation styles using gestures: prospective gesture tagging and retrospective gesture searching. We describe VideoHandles' interaction design, motivation and results of a pilot study.

Original language	English
Title of host publication	SUI 2014 - Proceedings of the 2nd ACM Symposium on Spatial User Interaction
Publisher	Association for Computing Machinery
Pages	50-53
Number of pages	4
ISBN (Print)	9781450328203
DOIs	https://doi.org/10.1145/2659766.2659784
Publication status	Published - 4 Oct 2014
Event	2nd ACM Symposium on Spatial User Interaction, SUI 2014 - Honolulu, United States Duration: 4 Oct 2014 → 5 Oct 2014

Conference

Conference	2nd ACM Symposium on Spatial User Interaction, SUI 2014
Country/Territory	United States
City	Honolulu
Period	4/10/14 → 5/10/14

Research Groups and Themes

Bristol Interaction Group

Access to Document

10.1145/2659766.2659784

Handle.net

Persistent link

Cite this

@inproceedings{1598e785231f48feb68f2f6035fae22d,

title = "VideoHandles: Replicating gestures to search through action-camera video",

abstract = "We present 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. In this paper we showcase the use of gestures as search queries to support review and navigation of video data. By exploring example self-captured footage across a range of activities, we propose two video data navigation styles using gestures: prospective gesture tagging and retrospective gesture searching. We describe VideoHandles' interaction design, motivation and results of a pilot study.",

author = "Jarrod Knibbe and Seah, \{Sue Ann\} and Mike Fraser",

year = "2014",

month = oct,

day = "4",

doi = "10.1145/2659766.2659784",

language = "English",

isbn = "9781450328203",

pages = "50--53",

booktitle = "SUI 2014 - Proceedings of the 2nd ACM Symposium on Spatial User Interaction",

publisher = "Association for Computing Machinery",

address = "United States",

note = "2nd ACM Symposium on Spatial User Interaction, SUI 2014 ; Conference date: 04-10-2014 Through 05-10-2014",

}

Knibbe, J, Seah, SA & Fraser, M 2014, VideoHandles: Replicating gestures to search through action-camera video. in SUI 2014 - Proceedings of the 2nd ACM Symposium on Spatial User Interaction. Association for Computing Machinery, pp. 50-53, 2nd ACM Symposium on Spatial User Interaction, SUI 2014, Honolulu, United States, 4/10/14. https://doi.org/10.1145/2659766.2659784

TY - GEN

T1 - VideoHandles

T2 - 2nd ACM Symposium on Spatial User Interaction, SUI 2014

AU - Knibbe, Jarrod

AU - Seah, Sue Ann

AU - Fraser, Mike

PY - 2014/10/4

Y1 - 2014/10/4

N2 - We present 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. In this paper we showcase the use of gestures as search queries to support review and navigation of video data. By exploring example self-captured footage across a range of activities, we propose two video data navigation styles using gestures: prospective gesture tagging and retrospective gesture searching. We describe VideoHandles' interaction design, motivation and results of a pilot study.

AB - We present 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. In this paper we showcase the use of gestures as search queries to support review and navigation of video data. By exploring example self-captured footage across a range of activities, we propose two video data navigation styles using gestures: prospective gesture tagging and retrospective gesture searching. We describe VideoHandles' interaction design, motivation and results of a pilot study.

UR - https://www.scopus.com/pages/publications/84910600758

U2 - 10.1145/2659766.2659784

DO - 10.1145/2659766.2659784

M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:84910600758

SN - 9781450328203

SP - 50

EP - 53

BT - SUI 2014 - Proceedings of the 2nd ACM Symposium on Spatial User Interaction

PB - Association for Computing Machinery

Y2 - 4 October 2014 through 5 October 2014

ER -

VideoHandles: Replicating gestures to search through action-camera video

Abstract

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