Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Heeseon Park

dblp:70/6054 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2

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.

Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 100%
Databases, data mining, and information retrieval
1 paper
Recommender systems · 100%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

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

TopicWeightPapersLastEvidence papers
User interface design and tools › interactive systems
interactive television
0.112010
Social recommendation and visual analysis on the TV · ACM Multimedia 2010
Recommender systems
social recommendation
0.012010
Social recommendation and visual analysis on the TV · ACM Multimedia 2010
Multimedia analysis and retrieval › multimedia analysis
visual content analysis
0.012010
Social recommendation and visual analysis on the TV · ACM Multimedia 2010

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

visual processing · 0.3search technologies · 0.3
YearPublicationVenuePosition
2010 Social recommendation and visual analysis on the TV
abstract
In this paper, we present prototype interactive TV software that incorporates visual content analysis tools and social networking in the home TV. We present the challenges of working with the living room TV environment and outline how we have utilized visual processing and search technologies to address these challenges and create a novel prototype interactive TV system.
Cathal Gurrin, Hyowon Lee 0001, Paul Ferguson, Alan F. Smeaton, Noel E. O'Connor, Yoon-Hee Choi, Heeseon Park
ACM Multimedia7
2009 Enhancing the Functionality of Interactive TV with Content-Based Multimedia Analysis
abstract
In this paper we describe how content-based analysis techniques can be used to provide much greater functionality to the users of an interactive TV (iTV) device. We describe several content-based multimedia analysis techniques and how some of these can be exploited in the iTV domain, resulting in the provision of a set of powerful functions for iTV users. To validate our ideas, we introduce an iTV application we developed which incorporates some of these techniques into a simple set of user features, in order to demonstrate the usefulness of content-based techniques for iTV. The contribution of this paper is not to provide an in-depth discussion on each of the individual content-based techniques, but rather to show how many of these powerful technologies can be incorporated into an interactive TV system.
Paul Ferguson, Cathal Gurrin, Hyowon Lee 0001, Sorin Sav, Alan F. Smeaton, Noel E. O'Connor, Yoon-Hee Choi, Heeseon Park
ISM8