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Automatic video production of lectures using an intelligent and aware environment

Published: 27 October 2004 Publication History

Abstract

This paper makes the case that much of the promise of ubiquitous multimedia depends on the availability of valued material. In business and academic environments the "presentation in a lecture room with laptop graphics" is a common way of communicating, but making a presentation readily available outside of the room is still a challenge because of the complexities of capturing and distributing the material. The AutoAuditorium™ System creates a multi-camera video program of a lecture in real time, without any human control beyond turning the system on and off. The system reduces the opportunity costs of making such a program to the point that it gets used for events previously not seen as candidates for video. Thus an event does not need nearly as many viewers to be considered worth capturing and many more events are seen by many more people.This paper presents a quick overview of the AutoAuditorium System technology and operational characteristics, a history of it's ancestry, development and use, and some usage experiences that demonstrate its current utility and future potential.The AutoAuditorium System is an example of an "intelligent and aware environment." In particular, it is:intelligent - about creating multi-camera television programs of lectures, in real time, with one or more people on a stage using projected visuals.aware - of the motion and gesturing of the people on stage.- of changes in the projected visuals.Originally created in the early- and mid-1990s as a research project [1] at Bellcore (Bell Communications Research, now Telcordia Technologies), it has been available as a commercial product from Foveal Systems since 1999.

References

[1]
Bianchi, M. H. AutoAuditorium: a fully automatic, multi-camera system to televise auditorium presentations. In Joint DARPA/NIST Smart Spaces Technology Workshop (1998). www.AutoAuditorium.com/nist/autoaud.html.
[2]
Bianchi, M. H. Autoauditorium system home page, 2004. www.AutoAuditorium.com.
[3]
Brotherton, J. A. Enriching Everyday Activities through the Automated Capture and Access of Live Experiences; eClass: Building, Observing and Understanding the Impact of Capture and Access in an Educational Domain. PhD thesis, Georgia Institute of Technology, July 2001.
[4]
Christianson, E. A. Declarative camera control for automatic cinematography. In Proceedings of the Thirteenth National Conference on Artificial Intelligence (1996), pp. 148--155.
[5]
E. Machnicki, L. R. Virtual director: Automating a webcast. In Proceedings of SPIE Vol. 4673: Multimedia Computing and Networking (2002), pp. 208--225.
[6]
Kernmani, P. The IBM research media portal, December 2002. www.poly.edu/Podium/eef2002.cfm.
[7]
Michael Gleicher, J. M. Towards virtual videography. In ACM Multimedia 2000, Los Angeles, CA (November 2000). www.cs.wisc.edu/graphics/Papers/Gleicher/Video/vv.pdf.
[8]
Rui, Y., He, L., Gupta, A., and Liu, Q. Building an intelligent camera management system. In Proceedings of ACM Multimedia 2001 (2001), pp. 2--11.
[9]
Steinmetz, A. A. E-seminar lecture recording and distribution system: a bottom up approach from video to knowledge streaming. In Proceedings of SPIE Volume 4312 (2001). www.spie.org/web/meetings/programs/pw01/confs/4312.html.
[10]
Truong, K., Abowd, G., and Brotherton, J. Who, what, when, where, how: Design issues of capture and access applications. In Ubicomp 2001 Conference Proceedings (2001), ACM Press, pp. 209--224.
[11]
Yuanchun Shi, E. A. The smart classroom: Merging technologies for seamless tele-education. In IEEE Pervasive Computing Magazine (April-June 2003).

Cited By

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  • (2024)Smart Classroom: A Review and Research AgendaIEEE Transactions on Engineering Management10.1109/TEM.2022.317647771(2430-2446)Online publication date: 2024
  • (2022)A Survey of Smart Classroom LiteratureEducation Sciences10.3390/educsci1202008612:2(86)Online publication date: 26-Jan-2022
  • (2022)An Intelligent Advertisement Short Video Production System via Multi-Modal RetrievalProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3536323(3368-3372)Online publication date: 6-Jul-2022
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        cover image ACM Other conferences
        MUM '04: Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia
        October 2004
        273 pages
        ISBN:1581139810
        DOI:10.1145/1052380
        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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        • UMIADCS: University of Maryland, Institute for Advanced Computer Studies

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 27 October 2004

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        Author Tags

        1. automatic video production
        2. multimedia content creation
        3. multimedia production

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        MUM04: International Conference on Mobile and Ubiquitous Multimedia
        October 27 - 29, 2004
        Maryland, College Park, USA

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        Overall Acceptance Rate 190 of 465 submissions, 41%

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        Cited By

        View all
        • (2024)Smart Classroom: A Review and Research AgendaIEEE Transactions on Engineering Management10.1109/TEM.2022.317647771(2430-2446)Online publication date: 2024
        • (2022)A Survey of Smart Classroom LiteratureEducation Sciences10.3390/educsci1202008612:2(86)Online publication date: 26-Jan-2022
        • (2022)An Intelligent Advertisement Short Video Production System via Multi-Modal RetrievalProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3536323(3368-3372)Online publication date: 6-Jul-2022
        • (2021)Automatic and Smart Content Transformation of Video Lectures2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)10.1109/CCNC49032.2021.9369592(1-6)Online publication date: 9-Jan-2021
        • (2020)GAZED– Gaze-guided Cinematic Editing of Wide-Angle Monocular Video RecordingsProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376544(1-11)Online publication date: 21-Apr-2020
        • (2020)Literature Survey on Multi-Camera System and Its ApplicationIEEE Access10.1109/ACCESS.2020.30245688(172892-172922)Online publication date: 2020
        • (2019)How Smart Are Smart Classrooms? A Review of Smart Classroom TechnologiesACM Computing Surveys10.1145/336575752:6(1-28)Online publication date: 10-Dec-2019
        • (2018)Extracting Regular FOV Shots from 360 Event FootageProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173890(1-11)Online publication date: 21-Apr-2018
        • (2018)Building a smart lecture-recording system using MK-CPN network for heterogeneous data sourcesNeural Computing and Applications10.1007/s00521-017-3328-6Online publication date: 6-Jan-2018
        • (2017)Opportunistic Collaborative Mobile-Based Multimedia Authoring Based on the Capture of Live ExperiencesProceedings of the 2017 ACM Symposium on Document Engineering10.1145/3103010.3121047(219-222)Online publication date: 31-Aug-2017
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