abstract

Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos

Authors:

Shigeo MorishimaAuthors Info & Claims

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: LBW611, Pages 1 - 6

https://doi.org/10.1145/3170427.3189085

Published: 20 April 2018 Publication History

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Abstract

This work presents the Dynamic Object Scanning (DO-Scanning), a novel interface that helps users browse long and untrimmed first-person videos quickly. The proposed interface offers users a small set of object cues generated automatically tailored to the context of a given video. Users choose which cue to highlight, and the interface in turn fast-forwards the video adaptively while keeping scenes with highlighted cues played at original speed. Our experimental results have revealed that the DO-Scanning arranged an efficient and compact set of cues, and this set of cues is useful for browsing a diverse set of first-person videos.

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References

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Cited By

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Sugita YHiguchi KYonetani RKamikubo RSato YKoike HRatti CTakeuchi YFukuchi KScott SPlasencia D(2018)Browsing Group First-Person Videos with 3D VisualizationProceedings of the 2018 ACM International Conference on Interactive Surfaces and Spaces10.1145/3279778.3279783(55-60)Online publication date: 19-Nov-2018
https://dl.acm.org/doi/10.1145/3279778.3279783

Index Terms

Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

3155 pages

ISBN:9781450356213

DOI:10.1145/3170427

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
,
Program Chairs:
Mark Perry
Brunel University London, UK
,
Anna Cox
University College London, UK

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2018

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JST ACCEL
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CHI '18

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SIGCHI

CHI '18: CHI Conference on Human Factors in Computing Systems

April 21 - 26, 2018

Montreal QC, Canada

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CHI EA '18 Paper Acceptance Rate 1,208 of 3,955 submissions, 31%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

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Sugita YHiguchi KYonetani RKamikubo RSato YKoike HRatti CTakeuchi YFukuchi KScott SPlasencia D(2018)Browsing Group First-Person Videos with 3D VisualizationProceedings of the 2018 ACM International Conference on Interactive Surfaces and Spaces10.1145/3279778.3279783(55-60)Online publication date: 19-Nov-2018
https://dl.acm.org/doi/10.1145/3279778.3279783

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Recommendations

Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos

EgoScanning: Quickly Scanning First-Person Videos with Egocentric Elastic Timelines

Egoscanning: quickly scanning first-person videos with egocentric elastic timelines