Publikation:

Visual Analytics System for Semi-automatic 4D Crime Scene Reconstruction

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Weiler_2-13quwafcki9pl1.pdf
Weiler_2-13quwafcki9pl1.pdfGröße: 736.6 KBDownloads: 113

Datum

2018

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European Union (EU): 740754

Projekt

VICTORIA - Video analysis for Investigation of Criminal and Terrorist Activities
Open Access-Veröffentlichung
Open Access Green
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Beitrag zu einem Konferenzband
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Published

Erschienen in

4th International Symposium on Big Data Visual and Immersive Analytics. 2018

Zusammenfassung

During criminal investigations, every second saved can be valuable to catch a suspect or to prevent further damage. However, sometimes the amount of evidence that needs to be investigated is so large, that it can not be processed fast enough. Especially after incidents in public, the law enforcement agencies receive a lot of video and image material from persons and surveillance cameras. Currently, all these videos are viewed manually and annotated by criminal investigators. The goal of our tool is to make this process faster by allowing the investigators to watch a combination of several videos at the same time and giving them a common spatial and temporal reference.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

4th International Symposium on Big Data Visual and Immersive Analytics, 17. Okt. 2018 - 19. Okt. 2018, Konstanz
Rezension
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ISO 690JENTNER, Wolfgang, Matthias KRAUS, Niklas WEILER, Timon KILIAN, Daniel A. KEIM, 2018. Visual Analytics System for Semi-automatic 4D Crime Scene Reconstruction. 4th International Symposium on Big Data Visual and Immersive Analytics. Konstanz, 17. Okt. 2018 - 19. Okt. 2018. In: 4th International Symposium on Big Data Visual and Immersive Analytics. 2018
BibTex
@inproceedings{Jentner2018Visua-45039,
  year={2018},
  title={Visual Analytics System for Semi-automatic 4D Crime Scene Reconstruction},
  url={https://scibib.dbvis.de/uploadedFiles/BDVA_VICTORIA_Poster_Paper_CR.pdf},
  booktitle={4th International Symposium on Big Data Visual and Immersive Analytics},
  author={Jentner, Wolfgang and Kraus, Matthias and Weiler, Niklas and Kilian, Timon and Keim, Daniel A.}
}
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Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

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2019-02-14

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