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Joshua Sowerby

dblp:228/1338 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Computational photography and imaging › high dynamic range imaging
high dynamic range video
0.312018
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
0.312018
The Effect of Foveation on High Dynamic Range Video Perception · ACM Multimedia 2018
Computational photography and imaging
tone mapping
0.312018
The Effect of Foveation on High Dynamic Range Video Perception · ACM Multimedia 2018
Multimedia systems and quality of experience
video quality assessment
0.312018
The Effect of Foveation on High Dynamic Range Video Perception · ACM Multimedia 2018
Virtual and augmented reality
eye tracking
0.112018
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
YearPublicationVenuePosition
2018 The Effect of Foveation on High Dynamic Range Video Perception
abstract
When 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 Multimedia1