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2022 Proceeding- General Chairs:
- Jing Li,
- Xinbo Gao,
- Patrick Le Callet,
- Zhi Li,
- Wen Lu,
- Jiachen Yang,
- Junle Wang
It is our great pleasure to welcome you to ACM Multimedia 2022 Workshop on Quality of Experience in Visual Multimedia Applications - QoEVMA22. This year's workshop continues its tradition of being the premier forum for presentation of research results and experience reports on leading edge issues of Quality of Experience (QoE) on any visual multimedia, including QoE assessment on VoD for movies, dramas, variety shows, User Generated Contents(UGC) on social networks, live streaming videos for gaming/shopping/social, etc; 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), etc, and Key performance indicators (KPI) analysis for QoE.
The mission of the workshop is to share novel idea or solution that fulfill the users' new requirements on quality of experience on advanced multimedia technology, and identify new directions for future research and development. The call for papers attracted submissions from China, Norway, France, Poland, India, Brazil, Morocco, and the United States. This year, we have received in total 14 submissions, and 8 papers were accepted.
We also encourage attendees to attend the invited keynote, which is given by prof. Mylene Farias from University of Brasilia, with the title of Estimating the Quality of Experience of Immersive Contents.
Proceeding Downloads
Estimating the Quality of Experience of Immersive Contents
Recent technology advancements have driven the production of plenoptic devices that capture and display visual contents, not only as texture information (as in 2D images) but also as 3D texture-geometric information. These devices represent the visual ...
Adversarial Attacks Against Blind Image Quality Assessment Models
Several deep models for blind image quality assessment (BIQA) have been proposed during the past few years, with promising results on standard image quality datasets. However, generalization of BIQA models beyond the standard content remains a ...
Simulating Visual Mechanisms by Sequential Spatial-Channel Attention for Image Quality Assessment
As a subjective concept, image quality assessment (IQA) is significantly affected by perceptual mechanisms. Two mutually influenced mechanisms, namely spatial attention and contrast sensitivity, are particularly important for IQA. This paper aims to ...
From Just Noticeable Differences to Image Quality
Distortions can occur due to several processing steps in the imaging chain of a wide range of multimedia content. The visibility of distortions is highly correlated with the overall perceived quality of a certain multimedia content. Subjective quality ...
Impact of Content on Subjective Quality of Experience Assessment for 3D Video
Ongoing improvements in the field of visual entertainment may incline users to display 3D video content on various terminal devices provided satisfying Quality of Experience. This study aims to determine whether the cognitive features of appealing and ...
No-Reference Quality Assessment of Stereoscopic Video Based on Deep Frequency Perception
The purpose of stereo video quality assessment (SVQA) is to easily and quickly measure the quality of stereo video, and strive to reach a consensus with human visual perception. Stereo video contains more perceptual information and involves more visual ...
On Objective and Subjective Quality of 6DoF Synthesized Live Immersive Videos
We address the problem of quantifying the perceived quality in 6DoF (Degree-of-Freedom) live immersive video in two steps. First, we develop a set of tools to generate (or collect) datasets in a photorealistic simulator, AirSim. Using these tools, we ...
No-reference Point Clouds Quality Assessment using Transformer and Visual Saliency
Quality estimation of 3D objects/scenes represented by cloud point is a crucial and challenging task in computer vision. In real-world applications, reference data is not always available, which motivates the development of new point cloud quality ...
Point Cloud Quality Assessment Using Cross-correlation of Deep Features
3D point clouds have emerged as a preferred format for recent immersive communication systems, due to the six degrees of freedom they offer. The huge data size of point clouds, which consists of both geometry and color information, has motivated the ...
Index Terms
- Proceedings of the 2nd Workshop on Quality of Experience in Visual Multimedia Applications
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Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| QoEVMA'24 | 6 | 6 | 100% |
| QoEVMA '22 | 14 | 8 | 57% |
| Overall | 20 | 14 | 70% |