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Eungchan Kim

dblp:144/5262 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1Human-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
Multimedia analysis and retrieval · 100%
Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 50% Learning and educational technologies · 50%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia analysis and retrieval › multimodal summarization
event summarization
0.212015
Evento 360: Social Event Discovery from Web-scale Multimedia Collection · ACM Multimedia 2015
Multimedia analysis and retrieval › event detection
multimodal event detection
0.212015
Evento 360: Social Event Discovery from Web-scale Multimedia Collection · ACM Multimedia 2015
Multimedia analysis and retrieval
multimodal summarization
0.212015
Evento 360: Social Event Discovery from Web-scale Multimedia Collection · ACM Multimedia 2015
Information retrieval
search interfaces
0.112015
Evento 360: Social Event Discovery from Web-scale Multimedia Collection · ACM Multimedia 2015

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

unsupervised clustering · 0.4hierarchical clustering · 0.4user study · 0.2iterative design · 0.2
YearPublicationVenuePosition
2015 Evento 360: Social Event Discovery from Web-scale Multimedia Collection
abstract
We present Evento 360 (URL: http://evento360.info), an online interactive social event browser, which allows the user to explore events detected within a web-scale multimedia corpus. The system addresses five key aspects of social multimedia event detection and summarization: multimodality, scale, diversity of representations, noise of multimedia items, and missing metadata. The detection algorithm uses unsupervised clustering approach that exploits temporal, spatial and textual metadata. For each detected event cluster, to choose the best subset of photos that meet both relevance and diversity criteria, the system uses hierarchical clustering that exploits both visual and audio information. Evento 360's user interface provides a search feature that is not limited to a certain set of events, but rather can handle an arbitrary event query. It allows the user to retrieve and explore relevant events. The system scales well and is effective in producing high-quality summaries of the detected events.
Jaeyoung Choi 0002, Eungchan Kim, Martha A. Larson, Gerald Friedland, Alan Hanjalic
ACM Multimedia2
2014 EnergyBugs: energy harvesting wearables for children
abstract
EnergyBugs are energy harvesting wearables with features that invite children to move their bodies to generate tiny, yet usable amounts of electricity. EnergyBugs not only convert children's kinetic energy into usable electrical energy, but also let children power a specially designed LED lamp with the energy the children have personally harvested. EnergyBugs therefore turn the electrical energy into a tangible object that children can manipulate and think with. Two studies of EnergyBugs with 34 elementary school children have revealed that children carefully observed and negotiated the use of personally harvested energy with their classmates, as well as developed emotional connections to energy. In particular, moving their own bodies to generate energy led the children to more actively ask questions about energy from new perspectives. We report our iterative design process and discuss the implications of our results for HCI.
Kimiko Ryokai, Peiqi Su, Eungchan Kim, Bob Rollins
CHI3