@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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    <dcterms:title>Visual Analytics System for Semi-automatic 4D Crime Scene Reconstruction</dcterms:title>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:contributor>Kraus, Matthias</dc:contributor>
    <dc:contributor>Jentner, Wolfgang</dc:contributor>
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    <dcterms:abstract xml:lang="eng">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.</dcterms:abstract>
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    <dc:contributor>Kilian, Timon</dc:contributor>
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