The VAT

Enhanced video analysis

Virginia Kuhn, Alan Craig, Michael Simeone, Sandeep Puthanveetil Satheesan, Luigi Marini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The practice of extracting knowledge from large volumes of video data suffers from a problem of variety. Security, military, and commercial identification and retrieval are well-traveled paths for identifying very particular objects or people found in recorded footage, yet there are extremely few established technology solutions and use cases for understanding what large-scale video collections can help us discover about contemporary culture and history. This dearth is not due to a lack of imagination on the part of researchers; rather, we contend, in order to grow a common set of instruments, measures, and procedural methods, there is a need for a common gateway into content and analytics for cultural and historical experts to utilize. The Video Analysis Tableau (VAT), formerly the LSVA, is a research project aimed at establishing a software workbench for video analysis, annotation, and visualization, using both current and experimental discovery methods and built on the Clowder framework/interface. The VAT employs a host of algorithms for machine reading, in addition to spaces for user generated tagging and annotation; it is currently being expanded into a gateway project in order to foster a strong community of practice that includes researchers in a variety of disciplines.

Original languageEnglish (US)
Title of host publicationProceedings of the XSEDE 2015 Conference
Subtitle of host publicationScientific Advancements Enabled by Enhanced Cyberinfrastructure
PublisherAssociation for Computing Machinery
Volume2015-July
ISBN (Electronic)9781450337205
DOIs
StatePublished - Jan 1 2015
Event4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 - St. Louis, United States
Duration: Jul 26 2015Jul 30 2015

Other

Other4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015
CountryUnited States
CitySt. Louis
Period7/26/157/30/15

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Keywords

  • Database
  • Digital humanities
  • Interactive analysis
  • Video analytics

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Kuhn, V., Craig, A., Simeone, M., Satheesan, S. P., & Marini, L. (2015). The VAT: Enhanced video analysis. In Proceedings of the XSEDE 2015 Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure (Vol. 2015-July). [a11] Association for Computing Machinery. https://doi.org/10.1145/2792745.2792756

The VAT : Enhanced video analysis. / Kuhn, Virginia; Craig, Alan; Simeone, Michael; Satheesan, Sandeep Puthanveetil; Marini, Luigi.

Proceedings of the XSEDE 2015 Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure. Vol. 2015-July Association for Computing Machinery, 2015. a11.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kuhn, V, Craig, A, Simeone, M, Satheesan, SP & Marini, L 2015, The VAT: Enhanced video analysis. in Proceedings of the XSEDE 2015 Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure. vol. 2015-July, a11, Association for Computing Machinery, 4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015, St. Louis, United States, 7/26/15. https://doi.org/10.1145/2792745.2792756
Kuhn V, Craig A, Simeone M, Satheesan SP, Marini L. The VAT: Enhanced video analysis. In Proceedings of the XSEDE 2015 Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure. Vol. 2015-July. Association for Computing Machinery. 2015. a11 https://doi.org/10.1145/2792745.2792756
Kuhn, Virginia ; Craig, Alan ; Simeone, Michael ; Satheesan, Sandeep Puthanveetil ; Marini, Luigi. / The VAT : Enhanced video analysis. Proceedings of the XSEDE 2015 Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure. Vol. 2015-July Association for Computing Machinery, 2015.
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