Article

Viewing meeting captured by an omni-directional camera

Authors:

J. J. CadizAuthors Info & Claims

CHI '01: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 450 - 457

https://doi.org/10.1145/365024.365311

Published: 01 March 2001 Publication History

Abstract

One vision of future technology is the ability to easily and inexpensively capture any group meeting that occurs, store it, and make it available for people to view anytime and anywhere on the network. One barrier to achieving this vision has been the design of low-cost camera systems that can capture important aspects of the meeting without needing a human camera operator. A promising solution that has emerged recently is omni-directional cameras that can capture a 360-degree video of the entire meeting.

The panoramic capability provided by these cameras raises both new opportunities and new issues for the interfaces provided for post-meeting viewers — for example, do we show all meeting participants all the time or do we just show the person who is speaking, how much control do we provide to the end-user in selecting the view, and will providing this control distract them from their task. These are not just user interface issues, they also raise tradeoffs for the client-server systems used to deliver such content. They impact how much data needs to be stored on the disk, what computation can be done on the server vs. the client, and how much bandwidth is needed. We report on a rototype system built using an omni-directional camera and results from user studies of interface preferences expressed by viewers.

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Cited By

Yeo HWu EKim DLee JKim HOh STakagi LWoo WKoike HQuigley A(2023)OmniSense: Exploring Novel Input Sensing and Interaction Techniques on Mobile Device with an Omni-Directional CameraProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580747(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580747
Komiya KTobita H(2022)MixedView: A Focus-and-Context View Mixing Omnidirectional and Detailed 2D ImagesHCI International 2022 Posters10.1007/978-3-031-06417-3_28(204-211)Online publication date: 16-Jun-2022
https://doi.org/10.1007/978-3-031-06417-3_28
Haghighi MSheikhjafari AJolfaei AFarivar FAhmadzadeh S(2021) Automation of Recording in Smart Classrooms via Deep Learning and Bayesian Maximum a Posteriori Estimation of Instructor's Pose IEEE Transactions on Industrial Informatics10.1109/TII.2020.301168817:4(2813-2820)Online publication date: Apr-2021
https://doi.org/10.1109/TII.2020.3011688
Show More Cited By

Index Terms

Viewing meeting captured by an omni-directional camera
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Information systems
  1. Information systems applications
    1. Multimedia information systems
  2. World Wide Web
    1. Web applications
      1. Internet communications tools
        Web conferencing

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cover image ACM Conferences

CHI '01: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

March 2001

559 pages

ISBN:1581133278

DOI:10.1145/365024

Chairmen:
Julie Jacko
Georgia Institute of Technology
,
Andrew Sears
UMBC

Copyright � 2001 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 01 March 2001

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CHI '01 Paper Acceptance Rate 69 of 352 submissions, 20%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Yeo HWu EKim DLee JKim HOh STakagi LWoo WKoike HQuigley A(2023)OmniSense: Exploring Novel Input Sensing and Interaction Techniques on Mobile Device with an Omni-Directional CameraProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580747(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580747
Komiya KTobita H(2022)MixedView: A Focus-and-Context View Mixing Omnidirectional and Detailed 2D ImagesHCI International 2022 Posters10.1007/978-3-031-06417-3_28(204-211)Online publication date: 16-Jun-2022
https://doi.org/10.1007/978-3-031-06417-3_28
Haghighi MSheikhjafari AJolfaei AFarivar FAhmadzadeh S(2021) Automation of Recording in Smart Classrooms via Deep Learning and Bayesian Maximum a Posteriori Estimation of Instructor's Pose IEEE Transactions on Industrial Informatics10.1109/TII.2020.301168817:4(2813-2820)Online publication date: Apr-2021
https://doi.org/10.1109/TII.2020.3011688
Cohen MSatō RNoji RIida TTokumitsu Y(2021)Directional selectivity in panoramic and pantophonic interfaces: Flashdark, Narrowcasting for Stereoscopic Photospherical Cinemagraphy, Akabeko EnsembleThe Visual Computer10.1007/s00371-021-02293-1Online publication date: 11-Oct-2021
https://doi.org/10.1007/s00371-021-02293-1
Tsuchiya AOra HKameda KMiyake Y(2020)Body Movement Synchrony Captured by an Omnidirectional Camera predicts the Degree of Information Transfer during Dialogue: Toward Automatic Evaluation of Verbal Communication2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)10.1109/CogInfoCom50765.2020.9237916(000215-000220)Online publication date: 23-Sep-2020
https://doi.org/10.1109/CogInfoCom50765.2020.9237916
Schoop ESmith JHartmann BMandryk RHancock MPerry MCox A(2018)HindSightProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173717(1-12)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3173717
Roudaki AKong JReetz S(2016)SmartCameraMultimedia Tools and Applications10.1007/s11042-015-2700-875:13(7831-7854)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1007/s11042-015-2700-8
Ahmed FGavrilova M(2015)Biometric-Based User Authentication and Activity Level Detection in a Collaborative EnvironmentTransparency in Social Media10.1007/978-3-319-18552-1_9(165-180)Online publication date: 2015
https://doi.org/10.1007/978-3-319-18552-1_9
Foote ECarr PLucey PSheikh YMatthews IJaimes ASebe NBoujemaa NGatica-Perez DShamma DWorring MZimmermann R(2013)One-man-bandProceedings of the 21st ACM international conference on Multimedia10.1145/2502081.2502092(163-172)Online publication date: 21-Oct-2013
https://dl.acm.org/doi/10.1145/2502081.2502092
Pece FSteptoe WWanner FJulier SWeyrich TKautz JSteed AMackay WBrewster SB�dker S(2013)PanoinsertsProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2470654.2466173(1319-1328)Online publication date: 27-Apr-2013
https://dl.acm.org/doi/10.1145/2470654.2466173
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