K
Kyu Tae Park
Researcher at Yonsei University
Publications - 43
Citations - 378
Kyu Tae Park is an academic researcher from Yonsei University. The author has contributed to research in topics: Motion estimation & Optical flow. The author has an hindex of 11, co-authored 43 publications receiving 340 citations.
Papers
More filters
Journal ArticleDOI
Filtration and inactivation of aerosolized bacteriophage MS2 by a CNT air filter fabricated using electro-aerodynamic deposition.
Kyu Tae Park,Jungho Hwang +1 more
TL;DR: Carbon nanotubes were coated on a sample of glass fiber air filter medium at atmospheric pressure and room temperature using electro-aerodynamic deposition (EAD) and virus aerosol filtration and anti-viral tests were carried out using the aerosol number counting method and the plaque counting method.
Journal ArticleDOI
Interframe coding using two-stage variable block-size multiresolution motion estimation and wavelet decomposition
TL;DR: A method to reduce the amount of motion information is developed, and a bit allocation method minimizing the sum of the motion information and the prediction error is obtained in the wavelet transform domain.
Journal ArticleDOI
Ultrafast 27 GHz cutoff frequency in vertical WSe2 Schottky diodes with extremely low contact resistance.
Sung Jin Yang,Kyu Tae Park,Jaeho Im,Sungjae Hong,Yangjin Lee,Byung-Wook Min,Kwanpyo Kim,Seongil Im +7 more
TL;DR: In this article, a semitransparent vertical WSe2 Schottky diodes based on mechanically exfoliated two-dimensional layered semiconducting crystals was proposed.
Journal ArticleDOI
A hierarchical layered model for DVD authoring system
TL;DR: The proposed model provides an efficient structure in terms of adaptability and flexibility for DVD authoring and the needs of the authoring system model are addressed from the viewpoint of object encapsulation and data formatting.
Journal ArticleDOI
Motion based object tracking with mobile camera
TL;DR: An efficient algorithm which detects and tracks a moving object is proposed and the global motion energy caused by camera movement is eliminated by finding the maximal matching position with the cross-correlation value between two consecutive frames using the spiral scanning technique.