Scalable video visual analytics

DC FieldValueLanguage
dc.contributor.authorHoeferlin, Benjamin
dc.contributor.authorHoeferlin, Markus
dc.contributor.authorHeidemann, Gunther
dc.contributor.authorWeiskopf, Daniel
dc.date.accessioned2021-12-23T16:09:57Z-
dc.date.available2021-12-23T16:09:57Z-
dc.date.issued2015
dc.identifier.issn14738716
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/9071-
dc.description.abstractVideo visual analytics is the research field that addresses scalable and reliable analysis of video data. The vast amount of video data in typical analysis tasks renders manual analysis by watching the video data impractical. However, automatic evaluation of video material is not reliable enough, especially when it comes to semantic abstraction from the video signal. In this article, we describe the video visual analytics method that combines the complementary strengths of human recognition and machine processing. After inspecting the challenges of scalable video analysis, we derive the main components of visual analytics for video data. Based on these components, we present our video visual analytics system that has its origins in our IEEE VAST Challenge 2009 participation.
dc.description.sponsorshipGerman Research Foundation (DFG)German Research Foundation (DFG) [SPP 1335]; This work was funded by German Research Foundation (DFG) as part of the Priority Program ``Scalable Visual Analytics'' (SPP 1335).
dc.language.isoen
dc.publisherSAGE PUBLICATIONS LTD
dc.relation.ispartofINFORMATION VISUALIZATION
dc.subjectComputer Science
dc.subjectComputer Science, Software Engineering
dc.subjectFAST-FORWARD
dc.subjectFRAMEWORK
dc.subjectNEWS
dc.subjectRETRIEVAL
dc.subjectscalability
dc.subjectsituational awareness
dc.subjectVAST Challenge 2009
dc.subjectvideo analysis
dc.subjectVisual analytics
dc.subjectVISUALIZATION
dc.titleScalable video visual analytics
dc.typejournal article
dc.identifier.doi10.1177/1473871613488571
dc.identifier.isiISI:000346903200002
dc.description.volume14
dc.description.issue1, SI
dc.description.startpage10
dc.description.endpage26
dc.identifier.eissn14738724
dc.publisher.place1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
dcterms.isPartOf.abbreviationInf. Vis.
crisitem.author.deptInstitut für Kognitionswissenschaft-
crisitem.author.deptidinstitute28-
crisitem.author.parentorgFB 08 - Humanwissenschaften-
crisitem.author.grandparentorgUniversität Osnabrück-
crisitem.author.netidHeGu645-
Show simple item record

Page view(s)

2
Last Week
0
Last month
0
checked on Apr 20, 2024

Google ScholarTM

Check

Altmetric