Back to articles
Volume: 34 | Article ID: IQSP-318
Image quality evaluation of video conferencing solutions with realistic laboratory scenes
  DOI :  10.2352/EI.2022.34.9.IQSP-318  Published OnlineJanuary 2022

Video conferencing has become extremely relevant in the world in the latest years. Traditional image and video quality evaluation techniques prove insufficient to properly assess the quality of these systems, since they often include special processing pipelines, for example, to improve face rendering. Our team proposes a suite of equipment, laboratory scenes and measurements that include realistic mannequins to simulate a more true-to-life scene, while still being able to reliably measure image quality in terms of exposure, dynamic range, color and skin tone rendering, focus, texture, and noise. These metrics are used to evaluate and compare three categories of cameras for video conference that are available on the market: external webcams, laptop integrated webcams and selfie cameras of mobile devices. Our results showed that external webcams provide a real image quality advantage over most built-in webcams in laptops but cannot match the superior image quality of tablets and smartphones selfie cameras. Our results are consistent with perceptual evaluation and allow for an objective comparison of very different systems.

Subject Areas :
Views 51
Downloads 19
 articleview.views 51
 articleview.downloads 19
  Cite this article 

Rafael Falcon, Mauro Patti, Stanislas Brochard-Garnier, Gabriel Pacianotto Gouveia, Santiago Torres Acevedo, Thelma Bergot, Rick Alarcon, Corentin Bomstein, Hervé Macudzinski, Pierre-Yves Maitre, Laurent Chanas, Hoang-Phi Nguyen, Benoit Pochon, Frédéric Guichard, "Image quality evaluation of video conferencing solutions with realistic laboratory scenesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance,  2022,  pp 318-1 - 318-9,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2022
Electronic Imaging
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA