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Dr. Yong-Ju Lee
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Academic Career Length
21Years (2006-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications20 May 2016 in The Journal of Supercomputing
Journal Article
8 May 2016 in Lecture Notes in Electrical Engineering
Book Chapter
18 August 2009 in Cluster Computing
Journal Article
15 July 2008 in IEEE Transactions on Consumer Electronics
Journal Article
JJJin-Hwan Jeong
Jin-Hwan JeongYLYong-Ju Lee
Yong-Ju LeeHKHag-Young Kim
Hag-Young Kim
MKMyung-Joon Kim
Myung-Joon Kim
Trick play functionality in set-top box players is an attractive feature to VoD consumers. In this paper, we envision a mid-session control with 2-level speed scaling scheme that server can control content playback speed without client's aid so that no software/hardware upgrading in set-top box requires. Especially, as our scheme does not need bit stream re-encoding, server still can use well-known performance features such as network acceleration cards. Therefore, it promises great advantages for VoD service providers and set-top box manufacturers.
7 August 2009 in IEEE Transactions on Consumer Electronics
Journal Article
JJJin-Hwan Jeong
Jin-Hwan JeongYLYong-Ju Lee
Yong-Ju LeeHKHag-Young Kim
Hag-Young Kim
YPYu-Hyeon Park
Yu-Hyeon Park
In this paper, a hint file scheme for contents navigation algorithms specialized for set-top box client is introduced. As a hint file contains overall information of video/audio properties, video frame, and GOP structure, a server can do streaming without parsing elementary streams. Especially, as our scheme aims at the set-top box, a hint file additionally contains information needed for set-top box requests so that a server can process the requests efficiently. This promises great advantages for service providers for set-top box-based systems.
About Me
Yong-Ju Lee received his B.S. degree in Computer Engineering from Jeonbuk National University (JBNU), Jeonju, Republic of Korea, and his Ph.D. degree in Computer Engineering from Chungnam National University (CNU), Daejeon, Republic of Korea. He is currently the Head of the Visual Intelligence Research Department at the Electronics and Telecommunications Research Institute (ETRI), Daejeon, and an Adjunct Professor at the University of Science and Technology (UST), Korea. His research interests include generative visual intelligence, human-level visual perception, visual AI-agent collaboration, artificial general intelligence (AGI), and cross-/multimodal learning.