Demo Data from SIGIR 2026 / reviewers in the wild / expert
John Hedlund
dblp:290/5501
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Multimedia systems and quality of experience · 61% Virtual and augmented reality · 39% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality
immersive media |
0.6 | 1 | 2022 | Subjective Evaluation of Visual Quality and Simulator Sickness of Short 360$^\circ$ Videos: ITU-T Rec. P.919 · IEEE Trans. Multim. 2022 |
Multimedia systems and quality of experience › video quality assessment
omnidirectional video quality assessment |
0.6 | 1 | 2022 | Subjective Evaluation of Visual Quality and Simulator Sickness of Short 360$^\circ$ Videos: ITU-T Rec. P.919 · IEEE Trans. Multim. 2022 |
Multimedia systems and quality of experience
subjective quality assessment |
0.6 | 1 | 2022 | Subjective Evaluation of Visual Quality and Simulator Sickness of Short 360$^\circ$ Videos: ITU-T Rec. P.919 · IEEE Trans. Multim. 2022 |
Virtual and augmented reality
cybersickness |
0.2 | 1 | 2022 | Subjective Evaluation of Visual Quality and Simulator Sickness of Short 360$^\circ$ Videos: ITU-T Rec. P.919 · IEEE Trans. Multim. 2022 |
Methods — techniques the papers use, named apart from their topics
simulator sickness questionnaire · 0.6degradation category rating · 0.6absolute category rating · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Quality of experience of 360 video - subjective and eye-tracking assessment of encoding and freezing distortionsabstractAbstract The research domain on the Quality of Experience (QoE) of 2D video streaming has been well established. However, a new video format is emerging and gaining popularity and availability: VR 360-degree video. The processing and transmission of 360-degree videos brings along new challenges such as large bandwidth requirements and the occurrence of different distortions. The viewing experience is also substantially different from 2D video, it offers more interactive freedom on the viewing angle but can also be more demanding and cause cybersickness. The first goal of this article is to complement earlier research by Tran, et al. (2017) [39] testing the effects of quality degradation, freezing, and content on the QoE of 360-videos. The second goal is to test the contribution of visual attention as an influence factor in the QoE assessment. Data was gathered through subjective tests where participants watched degraded versions of 360-videos through a Head-Mounted Display with integrated eye-tracking sensors. After each video they answered questions regarding their quality perception, experience, perceptual load, and cybersickness. Our results showed that the participants rated the overall QoE rather low, and the ratings decreased with added degradations and freezing events. Cyber sickness was found not to be an issue. The effects of the manipulations on visual attention were minimal. Attention was mainly directed by content, but also by surprising elements. The addition of eye-tracking metrics did not further explain individual differences in subjective ratings. Nevertheless, it was found that looking at moving objects increased the negative effect of freezing events and made participants less sensitive to quality distortions. More research is needed to conclude whether visual attention is an influence factor on the QoE in 360-video. Anouk van Kasteren, Kjell Brunnström, John Hedlund, Chris Snijders 0001 |
Multim. Tools Appl. | 3 |
| 2022 | Subjective Evaluation of Visual Quality and Simulator Sickness of Short 360$^\circ$ Videos: ITU-T Rec. P.919abstractRecently an impressive development in immersive technologies, such as Augmented Reality (AR), Virtual Reality (VR) and 360${^\circ }$video, has been witnessed. However, methods for quality assessment have not been keeping up. This paper studies quality assessment of 360${^\circ }$video from the cross-lab tests (involving ten laboratories and more than 300 participants) carried out by the Immersive Media Group (IMG) of the Video Quality Experts Group (VQEG). These tests were addressed to assess and validate subjective evaluation methodologies for 360${^\circ }$video. Audiovisual quality, simulator sickness symptoms, and exploration behavior were evaluated with short (from 10 seconds to 30 seconds) 360${^\circ }$sequences. The following factors’ influences were also analyzed: assessment methodology, sequence duration, Head-Mounted Display (HMD) device, uniform and non-uniform coding degradations, and simulator sickness assessment methods. The obtained results have demonstrated the validity of Absolute Category Rating (ACR) and Degradation Category Rating (DCR) for subjective tests with 360${^\circ }$videos, the possibility of using 10-second videos (with or without audio) when addressing quality evaluation of coding artifacts, as well as any commercial HMD (satisfying minimum requirements). Also, more efficient methods than the long Simulator Sickness Questionnaire (SSQ) have been proposed to evaluate related symptoms with 360${^\circ }$videos. These results have been instrumental for the development of the ITU-T Recommendation P.919. Finally, the annotated dataset from the tests is made publicly available for the research community. Jesús Gutiérrez 0001, Pablo Pérez 0001, Marta Orduna, Ashutosh Singla, Carlos Cortés 0001, Pramit Mazumdar, Irene Viola 0001, Kjell Brunnström, Federica Battisti, Natalia Cieplinska, Dawid Juszka, Lucjan Janowski, Mikolaj Leszczuk, Anthony Adeyemi-Ejeye, Yaosi Hu, Zhenzhong Chen 0001, Glenn Van Wallendael, Peter Lambert, César Díaz, John Hedlund, Omar Hamsis, Stephan Fremerey, Frank Hofmeyer, Alexander Raake, Pablo César, Marco Carli, Narciso García |
IEEE Trans. Multim. | 20 |