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 Scopus citations

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
ISBN (Electronic)9781450337205
DOIs
StatePublished - Jul 26 2015
Event4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 - St. Louis, United States
Duration: Jul 26 2015Jul 30 2015

Publication series

NameACM International Conference Proceeding Series
Volume2015-July

Other

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

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

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