TY - GEN
T1 - The VAT
T2 - 4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015
AU - Kuhn, Virginia
AU - Craig, Alan
AU - Simeone, Michael
AU - Satheesan, Sandeep Puthanveetil
AU - Marini, Luigi
N1 - Publisher Copyright:
© 2015 Copyright held by the owner/author(s).
PY - 2015/7/26
Y1 - 2015/7/26
N2 - 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.
AB - 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.
KW - Database
KW - Digital humanities
KW - Interactive analysis
KW - Video analytics
UR - http://www.scopus.com/inward/record.url?scp=84942774889&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942774889&partnerID=8YFLogxK
U2 - 10.1145/2792745.2792756
DO - 10.1145/2792745.2792756
M3 - Conference contribution
AN - SCOPUS:84942774889
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the XSEDE 2015 Conference
PB - Association for Computing Machinery
Y2 - 26 July 2015 through 30 July 2015
ER -