Reducing Affective Responses to Surgical Images and Videos Through Stylization
| Autor: | David Biau, El Hadi Sariali, Marc Soubeyrand, Rabah Taouachi, Virginie Pineau, Pierre Dragicevic, Bruno Frachet, Lonni Besançon, Tobias Isenberg, Amir Semmo |
|---|---|
| Přispěvatelé: | Linköping University (LIU), Hasso Plattner Institute [Potsdam, Germany], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service ORL [Avicenne], Université Paris 13 (UP13)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Avicenne [AP-HP], Institut Curie [Paris], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Analysis and Visualization (AVIZ), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de Recherche en Informatique (LRI), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Biostatistique et épidemiologie clinique, Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris 13 (UP13)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Avicenne, Institut Curie, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Hôpital Universitaire Pitié Salpêtrière, Assistance Publique - Hôpitaux de Paris (AP - HP), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Information retrieval
Computer science media_common.quotation_subject [SCCO.COMP]Cognitive science/Computer science 020207 software engineering Image processing 02 engineering and technology CCS Concepts • Computing methodologies → NPR • Human-centered computing → Empirical studies in HCI Computer Graphics and Computer-Aided Design Rendering (computer graphics) Non-photorealistic rendering User studies 0202 electrical engineering electronic engineering information engineering Curiosity 020201 artificial intelligence & image processing CCS Concepts • Computing methodologies ! NPR Smoothing media_common • Human-centered computing ! Empirical studies in HCI |
| Zdroj: | Computer Graphics Forum Computer Graphics Forum, Wiley, 2020, 39 (1), pp.462--483. ⟨10.1111/cgf.13886⟩ Computer Graphics Forum, Wiley, In press, 39, ⟨10.1111/cgf.13886⟩ Computer Graphics Forum, 2020, 39 (1), pp.462--483. ⟨10.1111/cgf.13886⟩ |
| ISSN: | 0167-7055 1467-8659 |
| DOI: | 10.1111/cgf.13886⟩ |
| Popis: | International audience; We present the first empirical study on using color manipulation and stylization to make surgery images/videos more palatable. While aversion to such material is natural, it limits many people's 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 color 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 http://osf.io/4pfes/}{osf.io/4pfes/. |
| Databáze: | OpenAIRE |
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