Demo Data from SIGIR 2026 / reviewers in the wild / expert
Joshua Sowerby
dblp:228/1338
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
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 · 46% Computational photography and imaging · 46% Virtual and augmented reality · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational photography and imaging › high dynamic range imaging
high dynamic range video |
0.3 | 1 | 2018 | The Effect of Foveation on High Dynamic Range Video Perception · ACM Multimedia 2018 |
Multimedia systems and quality of experience › video quality assessment
perceptual video quality |
0.3 | 1 | 2018 | The Effect of Foveation on High Dynamic Range Video Perception · ACM Multimedia 2018 |
Computational photography and imaging
tone mapping |
0.3 | 1 | 2018 | The Effect of Foveation on High Dynamic Range Video Perception · ACM Multimedia 2018 |
Multimedia systems and quality of experience
video quality assessment |
0.3 | 1 | 2018 | The Effect of Foveation on High Dynamic Range Video Perception · ACM Multimedia 2018 |
Virtual and augmented reality
eye tracking |
0.1 | 1 | 2018 | The Effect of Foveation on High Dynamic Range Video Perception · ACM Multimedia 2018 |
Methods — techniques the papers use, named apart from their topics
tone mapping operator · 0.3subjective evaluation · 0.3dithering · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | The Effect of Foveation on High Dynamic Range Video PerceptionabstractWhen watching a video, the viewer's eyes will fixate on a certain point within each frame. Areas far from the viewers gaze location are perceived with much lower visual acuity than those around the fixation point. This effect is known as foveation. In this paper, the effect of foveation on High Dynamic Range (HDR) video perception is investigated. Using eye tracking data recorded from six different HDR sequences, the bit depth of individual frames are variably encoded, with the pixels with the highest bit depth corresponding to areas around the most likely fixation point for the frame. The bit depth of pixels within the modified frame will then gradually reduce, dependent on how far the pixel is located from the fixation point. To lower the bit depth of the HDR content, a tone mapping operator (TMO) is used. The particular TMO that is used generates an optimal tone mapping curve for every frame, which is used for both tone mapping to reduce the bit depth, and for inverse tone mapping for display purposes. However, this procedure can often cause large amounts of flickering, as well as banding artefacts, which reduce the perceptual quality of the video. Methods to mitigate these effects are proposed and implemented in this paper. Subjective performance evaluations were carried out involving 17 participants in order to evaluate the proposed methodology. Results show that when the lowest bit depth is 8 bits, the modified video is indistinguishable from the original. However, when 6 bit regions are introduced, a significant difference is noticed. Dithering and increasing the foveation region significantly improves the perceptual quality of the modified sequence. Joshua Sowerby, Yang Zhang 0003, Dimitris Agrafiotis |
ACM Multimedia | 1 |