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Interpreting Plenoptic Images as Multi-View Sequences for Improved Compression
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Realistic3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Realistic3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Realistic3D)
2017 (English)Data set, Primary data
Physical description [en]

Two tables and three figures.

Abstract [en]

The paper is written in the response to ICIP 2017, Grand challenge on plenoptic image compression. The input image format and compression rates set out by the competition are followed to estimate the results.

Place, publisher, year
2017.
Keyword [en]
Light field, plenoptic, MV-HEVC
Identifiers
URN: urn:nbn:se:miun:diva-30740OAI: oai:DiVA.org:miun-30740DiVA: diva2:1096149
Available from: 2017-05-17 Created: 2017-05-17 Last updated: 2017-06-07

Open Access in DiVA

data set(94 kB)11 downloads
File information
File name DATASET01.pdfFile size 94 kBChecksum SHA-512
abe947587b6ebbf1c3137ad0d1308317c0454b1d56a2443d9f772cdb0a8dcd7f1adef63731a6fe51c2d15f6da9f7b7e47c31e3faf108b982e34f6045a4d40085
Type datasetMimetype application/pdf

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Ahmad, WaqasOlsson, RogerSjöström, Mårten
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf