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Yusuke Nosaka

dblp:279/2830 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 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
Visualization and visual analytics · 44% Multimedia analysis and retrieval · 44% Image and video processing · 13%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia analysis and retrieval › multimedia analysis › human-centric multimedia analysis
gaze analysis		 0.412020
Analysis of gaze points when looking at paintings and saliency map to improve the accuracy of ROI (region of interest): demo abstract · SenSys 2020
Visualization and visual analytics
visual attention		 0.412020
Analysis of gaze points when looking at paintings and saliency map to improve the accuracy of ROI (region of interest): demo abstract · SenSys 2020
Image and video processing › saliency detection
saliency map		 0.112020
Analysis of gaze points when looking at paintings and saliency map to improve the accuracy of ROI (region of interest): demo abstract · SenSys 2020

Methods — techniques the papers use, named apart from their topics

eye tracking · 0.4
YearPublicationVenuePosition
2020 Analysis of gaze points when looking at paintings and saliency map to improve the accuracy of ROI (region of interest): demo abstract
abstract
As a preliminary step to improve the accuracy of ROI (Region of Interest) based on human visual characteristics, we measured and analyzed the eye movements when looking at paintings. We assumed that there was regularity in viewers' eye movement when looking at a world-renowned painting. This time, we introduce our experimental method, and compare for gaze points distributions and saliency map.
Yusuke Nosaka, Yuko Hoshino, Mitsuho Yamada
 SenSys1