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08422 Abstracts Collection -- Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes

Authors: Joachim Denzler and Michael Koch

Published in: Dagstuhl Seminar Proceedings, Volume 8422, Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes (2009)

Abstract

From 12.10. to 15.10.2008, the Dagstuhl Event 08422 was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

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Joachim Denzler and Michael Koch. 08422 Abstracts Collection -- Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes. In Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes. Dagstuhl Seminar Proceedings, Volume 8422, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{denzler_et_al:DagSemProc.08422.1,
  author =	{Denzler, Joachim and Koch, Michael},
  title =	{{08422 Abstracts Collection -- Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural  Scenes}},
  booktitle =	{Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural  Scenes},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8422},
  editor =	{Joachim Denzler and Michael Koch},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08422.1},
  URN =		{urn:nbn:de:0030-drops-18699},
  doi =		{10.4230/DagSemProc.08422.1},
  annote =	{Keywords: Computer Vision, Camera Networks, Natural Scenes}
}

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DOI: 10.4230/DagSemProc.08422.11

Universal Image Statistics as a Basis for Esthetic Perception

Authors: Michael Koch, Joachim Denzler, and Christoph Redies

Published in: Dagstuhl Seminar Proceedings, Volume 8422, Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes (2009)

Abstract

In the last decades many neuroscientists have started to investigate the perception of nature and art by the human visual system. Natural scenes lead to an esthetically pleasing perception, therefore scientists have begun to research the reasons to understand the processing principles of the human visual system.

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Michael Koch, Joachim Denzler, and Christoph Redies. Universal Image Statistics as a Basis for Esthetic Perception. In Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes. Dagstuhl Seminar Proceedings, Volume 8422, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{koch_et_al:DagSemProc.08422.11,
  author =	{Koch, Michael and Denzler, Joachim and Redies, Christoph},
  title =	{{Universal Image Statistics as a Basis for Esthetic Perception}},
  booktitle =	{Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural  Scenes},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8422},
  editor =	{Joachim Denzler and Michael Koch},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08422.11},
  URN =		{urn:nbn:de:0030-drops-18689},
  doi =		{10.4230/DagSemProc.08422.11},
  annote =	{Keywords: Esthetic, Aesthetic, PCA, Power Spectrum, Principal Component Analysis}
}

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08422 Abstracts Collection -- Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes

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Universal Image Statistics as a Basis for Esthetic Perception

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