All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Evaluation of 4D Light Field Compression Methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134154" target="_blank" >RIV/00216305:26230/19:PU134154 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fit.vut.cz/research/publication/11970/" target="_blank" >https://www.fit.vut.cz/research/publication/11970/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.24132/CSRN.2019.2901.1.7" target="_blank" >10.24132/CSRN.2019.2901.1.7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of 4D Light Field Compression Methods

  • Original language description

    Light field data records the amount of light at multiple points in space, captured e.g. by an array of cameras or by a light-field camera that uses microlenses. Since the storage and transmission requirements for such data are tremendous, compression techniques for light fields are gaining momentum in recent years. Although plenty of efficient compression formats do exist for still and moving images, only a little research on the impact of these methods on light field imagery is performed. In this paper, we evaluate the impact of state-of-the-art image and video compression methods on quality of images rendered from light field data. The methods include recent video compression standards, especially AV1 and XVC finalised in 2018. To fully exploit the potential of common image compression methods on four-dimensional light field imagery, we have extended these methods into three and four dimensions. In this paper, we show that the four-dimensional light field data can be compressed much more than independent still images while maintaining the same visual quality of a perceived picture. We gradually compare the compression performance of all image and video compression methods, and eventually answer the question, "What is the best compression method for light field data?".

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), Part I

  • ISBN

    978-80-86943-37-4

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    55-61

  • Publisher name

    Union Agency

  • Place of publication

    Plzeň

  • Event location

    Plzeň

  • Event date

    May 27, 2019

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article