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Gheric Speiginer

dblp:161/3424 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 1

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
Computational photography and imaging · 100%
Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input
mobile interaction
0.212015
Real-time Guidance Camera Interface to Enhance Photo Aesthetic Quality · CHI 2015
Computational photography and imaging › multi-perspective imaging › multi-camera systems
camera array
0.112015
Real-time Guidance Camera Interface to Enhance Photo Aesthetic Quality · CHI 2015

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

user study · 0.4expert rating · 0.4
YearPublicationVenuePosition
2015 Real-time Guidance Camera Interface to Enhance Photo Aesthetic Quality
abstract
This paper explores whether it is effective to use real-time on-screen guidance to help users take better photos with mobile devices. Using a three-camera array, we developed a photo-taking interface that provides real-time feedback on how to position the subject-of-interest according to a photography composition rule: rule-of-thirds. We conduct a user study to compare the aesthetic quality of photos taken with our real-time guidance interface against a static gridline interface common to existing digital cameras. Expert photographers and Mechanical Turk workers rate the aesthetic quality of these pairs of photos. Results indicate the photos taken with our real-time guidance interface have significantly higher aesthetics scores. This study shows the potential in using camera array, computational photography, and real-time guidance interface to help non-expert users take better photos.
Yan Xu 0011, Joshua Ratcliff, James J. Scovell, Gheric Speiginer, Ronald T. Azuma
CHI4