License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.iPMVM.2020.10
URN: urn:nbn:de:0030-drops-137591
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/13759/
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Ruediger, Patrick ; Garth, Christoph ; Hagen, Hans ; Leitte, Heike

Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles

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OASIcs-iPMVM-2020-10.pdf (7 MB)

Abstract

We provide an evaluation of the applicability of video compression techniques for compressing visualization image databases that are often used for in situ visualization. Considering relevant practical implementation aspects, we identify relevant compression parameters, and evaluate video compression for several test cases, involving several data sets and visualization methods; we use three different video codecs. To quantify the benefits and drawbacks of video compression, we employ metrics for image quality, compression rate, and performance. The experiments discussed provide insight into good choices of parameter values, working well in the considered cases.

BibTeX - Entry

@InProceedings{ruediger_et_al:OASIcs.iPMVM.2020.10,
  author =	{Ruediger, Patrick and Garth, Christoph and Hagen, Hans and Leitte, Heike},
  title =	{{Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{10:1--10:18},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/13759},
  URN =		{urn:nbn:de:0030-drops-137591},
  doi =		{10.4230/OASIcs.iPMVM.2020.10},
  annote =	{Keywords: Image Database, CinemaDB, Video Compression, Evaluation, Benchmark, In-situ}
}

Keywords: Image Database, CinemaDB, Video Compression, Evaluation, Benchmark, In-situ
Collection: 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)
Issue Date: 2021
Date of publication: 27.04.2021

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