QoEVMA 2026 Workshop

4th workshop on Quality of Experience in Visual Multimedia Applications

  • Conference:
    At the 34th ACM International Conference on Multimedia, 10–14 November 2026
  • Location:
    Rio de Janeiro, Brazil

Scope and topics of the workshop

Nowadays people spend a significant amount of time consuming various types of streaming videos such as video on demand (VoD) for movies, dramas or variety shows through Netflix, User Generated Content (UGC) and AI Generated Content (AIGC) through Facebook or TikTok, or live streaming videos for social, gaming, or shopping, benefiting from the popularity of high-speed networks and intelligent terminals. Moreover, along with the evolution of hardware and the growing popularity of concepts related to the metaverse, people have much more opportunities and interests to experience immersive and interactive multimedia content.

In recent years, the rapid advancement of generative models such as Sora, Veo, Seedance, and Kling has led to an explosive growth in the production and consumption of AIGC videos, further diversifying content forms and raising new challenges for user-perceived quality. Therefore, users have increasing demands on the Quality of Experience (QoE) of this visual multimedia, which reflects the user’s fulfillment of enjoyment or expectation of a service or an application. Enhancing the QoE of end-users becomes the ultimate goal nowadays for multimedia service providers.

The topics include:

  • QoE assessment on different visual multimedia applications, including VoD for movies, dramas, variety shows, UGC on social networks, live streaming videos for gaming/shopping/social, etc.
  • QoE assessment for AIGC: focusing on AIGC video quality perception, artifact characterization, temporal coherence evaluation, and realism assessment in content generated by diffusion models and other generative frameworks. (New for 2026)
  • QoE assessment for different video formats in multimedia services, including 2D, stereoscopic 3D, High Dynamic Range (HDR), Augmented Reality (AR), Virtual Reality (VR), 360°, Free-Viewpoint Video (FVV), Point Cloud, Computer-generated imagery (CGI), etc.
  • Key Performance Indicators (KPI) analysis for QoE.

Organizers

Workshop Organizers

  • Dr. Jing Li, Alibaba Group, China
  • Prof. Xinbo Gao, Xidian University, China
  • Prof. Patrick Le Callet, University of Nantes, France
  • Prof. Lucjan Janowski, AGH University of Science and Technology, Poland
  • Prof. Wen Lu, Xidian University, China
  • Prof. Jiachen Yang, Tianjin University, China
  • Dr. Junle Wang, Tencent, China
  • Dr. Jiabin Zhang, Alibaba Group, China

Program Committee

  • Prof. Leida Li, Xidian University, China
  • Prof. Mai Xu, Beihang University, China
  • Dr. Giuseppe Valenzise, CNRS - CentraleSupelec, France
  • Prof. Hantao Liu, Cardiff University, U.K.
  • Prof. Lu Zhang, INSA de Rennes, France
  • Prof. Guangtao Zhai, Shanghai Jiaotong University, China
  • Prof. Yuming Fang, Jiangxi University of Finance and Economics, China
  • Dr. Zhi Li, Netflix Inc., U.S.
  • Abhishek Dharmaratnakar, Google (YouTube), U.S.

Call for papers

Nowadays people spend a significant amount of time consuming various types of streaming videos, benefiting from the popularity of high-speed networks and intelligent terminals. Moreover, with the growing popularity of the metaverse, advanced hardware technology, and diverse content types, people have increasing demands on the Quality of Experience (QoE) of visual multimedia.

The workshop QoEVMA 2026 focuses on the QoE assessment of any visual multimedia applications, including possible Key Performance Indicator (KPI) analysis for different video formats.

Topics of interest include but are not limited to:

  • QoE for traditional image/video and stereo image/video: new research on evaluation of traditional visual multimedia.
  • QoE for AIGC image/video quality assessment.
  • QoE for emerging immersive multimedia or QoE-driven image/video processing: quality in immersive environments (virtual/augmented/mixed realities, 360° videos, free-viewpoint videos).
  • QoE methods and QoE-driven processing for point cloud, light field, volumetric content.
  • QoE methods for other application scenarios: any situation that involves 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 using new technologies; deep learning approaches are especially encouraged.
  • QoE-driven mobile visual multimedia processing: QoE applications in mobile contexts and new research on mobile visual multimedia processing based on QoE.

Submission

The submission follows exactly the same policy with the ACM Multimedia regular paper. Please refer to the submission site for submission policies.

Submitted papers (.pdf format) must use the ACM Article Template . Please remember to add Concepts and Keywords.

Please use the template in traditional double-column format to prepare your submissions. For example, Word users should use Word Interim Template, and LaTeX users should use sample-sigconf-authordraft template.

Submitted papers may consist of up to 8 pages. Up to two additional pages may be added for references. The reference pages must only contain references.

Submission system will be open soon. The review process is single-blinded.

Workshop Paper Submission July 16, 2026
Paper Acceptance Notification August 6, 2026
Camera Ready Version August 20, 2026
Workshop Date November, 2026

Have questions?

Please feel free to send an email to Dr. Jing Li (jing.li.univ@gmail.com, lj225205@alibaba-inc.com) and Dr. Jiabin Zhang (luocheng.zjb@alibaba-inc.com) if you have any questions relating to the workshop.

Program

Will be available soon...

Invited Speakers

TBD