liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
Reducing Affective Responses to Surgical Images and Videos Through Stylization
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
Univ Potsdam, Germany.
AP HP, France.
AP HP, France.
Show others and affiliations
2020 (English)In: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 39, no 1, p. 462-483Article in journal (Refereed) Published
Abstract [en]

We present the first empirical study on using colour manipulation and stylization to make surgery images/videos more palatable. While aversion to such material is natural, it limits many peoples ability to satisfy their curiosity, educate themselves and make informed decisions. We selected a diverse set of image processing techniques to test them both on surgeons and lay people. While colour manipulation techniques and many artistic methods were found unusable by surgeons, edge-preserving image smoothing yielded good results both for preserving information (as judged by surgeons) and reducing repulsiveness (as judged by lay people). We then conducted a second set of interview with surgeons to assess whether these methods could also be used on videos and derive good default parameters for information preservation. We provide extensive supplemental material at .

Place, publisher, year, edition, pages
WILEY , 2020. Vol. 39, no 1, p. 462-483
Keywords [en]
image processing; image and video processing; non-photorealistic rendering; rendering; user studies; interaction; Computing methodologies -> NPR; Image processing; center dot Human-centred computing -> Empirical studies in HCI
National Category
Computer graphics and computer vision
Identifiers
URN: urn:nbn:se:liu:diva-162522DOI: 10.1111/cgf.13886ISI: 000496114500001OAI: oai:DiVA.org:liu-162522DiVA, id: diva2:1378746
Note

Funding Agencies|Federal Ministry of Education and Research (BMBF), GermanyFederal Ministry of Education & Research (BMBF) [01IS15041B]

Available from: 2019-12-13 Created: 2019-12-13 Last updated: 2025-02-07

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Besancon, Lonni
By organisation
Media and Information TechnologyFaculty of Science & Engineering
In the same journal
Computer graphics forum (Print)
Computer graphics and computer vision

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 57 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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