[visionlist] CFP: QoEIM2021 (ICME 2021 Workshop on Quality of Experience in Interactive Multimedia)

Wang Junle wangjunle at gmail.com
Mon Feb 22 08:11:31 -04 2021

Apologies for cross-posting

Call for ContributionsQoEIM Workshop, in conjunction with the IEEE ICME
2021, July 5-9 2021, Shenzhen, China



Important Dates

- Workshop paper submission deadline: March 13, 2021

- Workshop paper acceptance notification: April 15, 2021

- Camera-ready paper submission deadline: April 29, 2021


Please refer to the workshop section of this page (
https://2021.ieeeicme.org/author_info) for submission policies.

Please submit your paper via (https://cmt3.research.microsoft.com/ICMEW2021).
Papers must be no longer than 6 pages, including all text, figures, and


The scope of this workshop focuses on the QoE assessment or improvement of
any interactive multimedia applications. The topics include but are not
limited to:


   Quality assessment of 3D/CGI content/point clouds, 360° video,
   3DoF+/6DoF, volumetric video.

   QoE for emerging virtual reality or QoE-driven virtual reality
   processing: quality in interactive and immersive environments
   (virtual/augmented/ mixed realities).

   QoE-driven video/graphics coding, streaming in cloud gaming.

   Subjective and objective assessment of cloud gaming scenarios (visual
   quality, interaction quality, experience)

   Gameplay quality: measurement, modeling, benchmarking.

   Player-cloud and player-player interactions: effects of delay and visual
   quality limitations on gameplay, and methods to improve them.

   QoE methods for haptic, audio, visual systems.

   QoE methods for drone images/videos or QoE-driven drone image/video

   QoE-driven image/video processing: the new research on image
   retargeting, view-synthesis, super-resolution quality assessment.

   QoE methods for other application situations: any application situation
   which can import the QoE, such as screen content image/video.

   QoE methods for visual multimedia based on machine learning: research on
   QoE methods for any kind of visual information based on new technologies,
   and deep learning is encouraged.

   QoE-driven mobile visual multimedia processing: the QoE applications on
   mobile situations and the new research on mobile visual multimedia
   processing based on QoE.


Prof. Weisi Lin, Nanyang Technological University, Singapore

Prof. Patrick Le Callet, University of Nantes, France

Prof. Mai Xu, Beihang University, China

Prof. Wei Gao, Peking University & Peng Cheng Laboratory, China

Dr. Junle Wang, Tencent, China

Program Committee

Prof. Leida Li, Xidian University, China

Prof. Hantao Liu, Cardiff University, U.K.

Prof. Lu Zhang, INSA de Rennes, France

Prof. Federica Battisti, University of Padova, Italy

Dr. Jing Li, Alibaba Group, China
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