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Seok-Woo Jang
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2020 – today
- 2021
- [j33]Seok-Woo Jang:
Extraction of mosaic regions through projection and filtering of features from image big data. Comput. Sci. Inf. Syst. 18(2): 553-574 (2021) - [j32]Samuel Lee, Seok-Woo Jang, Dongho Kim, Hernsoo Hahn, Gye-Young Kim:
A Novel Fingerprint Recovery Scheme using Deep Neural Network-based Learning. Multim. Tools Appl. 80(26): 34121-34135 (2021) - [j31]Byeongtae Ahn, Seok-Woo Jang
:
Context-adaptive blocking for protecting personal information exposed to social multimedia content. Multim. Tools Appl. 80(26): 34249-34267 (2021) - [j30]Seok-Woo Jang
:
Efficient covering of target areas using a location prediction-based algorithm. J. Supercomput. 77(6): 6105-6122 (2021) - 2020
- [j29]Gyung-Ju Lee, Seok-Woo Jang
, Gye-Young Kim:
Pupil detection and gaze tracking using a deformable template. Multim. Tools Appl. 79(19-20): 12939-12958 (2020) - [j28]Byeongtae Ahn, Seok-Woo Jang
:
Multimodal approach for multimedia injurious contents blocking. Multim. Tools Appl. 79(23-24): 16459-16472 (2020) - [j27]Seok-Woo Jang
, Byeongtae Ahn
:
Effective detection of exposed target regions based on deep learning from multimedia data. Multim. Tools Appl. 79(23-24): 16609-16625 (2020) - [j26]Seok-Woo Jang
, Sang-Hong Lee
:
Detection of Epileptic Seizures Using Wavelet Transform, Peak Extraction and PSR from EEG Signals. Symmetry 12(8): 1239 (2020) - [j25]Sul-Ho Kim, Seok-Woo Jang
, Jin-Ho Park, Gye-Young Kim
:
Robust hand pose estimation using visual sensor in IoT environment. J. Supercomput. 76(7): 5382-5401 (2020)
2010 – 2019
- 2019
- [j24]Seok-Woo Jang
, Myunghee Jung
:
Exposed body component-based harmful image detection in ubiquitous sensor data. Clust. Comput. 22(Suppl 1): 1899-1910 (2019) - 2018
- [j23]Seok-Woo Jang
, Sang-Hong Lee
:
Harmful Content Detection Based on Cascaded Adaptive Boosting. J. Sensors 2018: 7497243:1-7497243:12 (2018) - 2017
- [j22]Seok-Woo Jang
, Gye-Young Kim:
A monitoring method of semiconductor manufacturing processes using Internet of Things-based big data analysis. Int. J. Distributed Sens. Networks 13(7) (2017) - 2016
- [j21]Seok-Woo Jang
, Myunghee Jung
:
Robust detection of mosaic regions in visual image data. Clust. Comput. 19(4): 2285-2293 (2016) - [j20]Seok-Woo Jang
, Gye-Young Kim:
Learning-Based Detection of Harmful Data in Mobile Devices. Mob. Inf. Syst. 2016: 3919134:1-3919134:8 (2016) - [j19]Sul-Ho Kim, Kwon-Jae An, Seok-Woo Jang
, Gye-Young Kim:
Texture feature-based text region segmentation in social multimedia data. Multim. Tools Appl. 75(20): 12815-12829 (2016) - [j18]Seok-Woo Jang
, Myunghee Jung:
Detection of Harmful Content Using Multilevel Verification in Visual Sensor Data. Wirel. Pers. Commun. 86(1): 109-124 (2016) - 2015
- [j17]Seok-Woo Jang
, Myunghee Jung:
An adaptive camera-selection algorithm to acquire higher-quality images. Clust. Comput. 18(2): 647-657 (2015) - [j16]Seok-Woo Jang
, KeeHong Park, Gye-Young Kim:
Skin region segmentation using an image-adapted colour model. Int. J. Comput. Appl. Technol. 52(2/3): 142-149 (2015) - [j15]Seok-Woo Jang
, Gye-Young Kim:
A Multiple Feature-Based Image-Switching Strategy in Visual Sensor Networks. Int. J. Distributed Sens. Networks 11: 143754:1-143754:11 (2015) - [j14]Siwoo Byun, Seok-Woo Jang
:
A Column-Aware Index Management Using Flash Memory for Read-Intensive Databases. J. Inf. Process. Syst. 11(3): 389-405 (2015) - 2014
- [j13]Seok-Woo Jang
, Si-Ho Cha
:
An Approach to Segmenting Initial Object Movement in Visual Sensor Networks. Int. J. Distributed Sens. Networks 10 (2014) - [j12]Seok-Woo Jang
, Sung-Youn Cho, Gi-Sung Lee:
An Intelligent Guardrail Context-Awareness System Based on Acceleration Sensors in Ubiquitous Sensor Networks. Int. J. Distributed Sens. Networks 10 (2014) - [j11]Seok-Woo Jang
, Gye-Young Kim, Siwoo Byun:
Clustering-Based Pattern Abnormality Detection in Distributed Sensor Networks. Int. J. Distributed Sens. Networks 10 (2014) - [j10]Sung-Il Joo
, Seok-Woo Jang
, Seung-Wan Han, Gye-Young Kim:
ASM-Based Objectionable Image Detection in Social Network Services. Int. J. Distributed Sens. Networks 10 (2014) - 2013
- [j9]Young-Jae Park, Seok-Woo Jang
, Joong-Jae Lee, Yang-Weon Lee, Gye-Young Kim:
An ellipsoidal model for generating realistic 3D facial textures. Int. J. Comput. Appl. Technol. 46(1): 36-44 (2013) - 2012
- [j8]Hyun-Jun Choi, Young-Ho Seo, Seok-Woo Jang, Dong-Wook Kim:
Analysis of Digital Hologram Rendering Using a Computational Method. J. Inform. and Commun. Convergence Engineering 10(2): 205-209 (2012) - [j7]Dongwan Shin, Rodrigo Lopes, Seok-Woo Jang:
An Efficient Scheme for User-controlled Attribute Sharing in Federated Identity. Smart Comput. Rev. 2(2): 149-162 (2012) - [c15]Seok-Woo Jang
, Myung-Ae Chung, Gye-Young Kim:
Ellipsoidal face model-based image registration for generating facial textures. RACS 2012: 121-125 - 2011
- [j6]Solima Khanam, Seok-Woo Jang
, Woojin Paik:
Fast and Simple 2D Shape Retrieval Using Discrete Shock Graph. IEICE Trans. Inf. Syst. 94-D(10): 2059-2062 (2011) - [c14]Solima Khanam, Seok-Woo Jang
, Woojin Paik:
Shape Retrieval Combining Interior and Contour Descriptors. FGIT-FGCN (1) 2011: 120-128 - 2010
- [c13]Solima Khanam, Seok-Woo Jang
, Woojin Paik:
A K-Means Shape Classification Algorithm Using Shock Graph-Based Edit Distance. FGIT-FGCN (2) 2010: 247-254
2000 – 2009
- 2009
- [c12]Solima Khanam, Seok-Woo Jang
, Woojin Paik:
An Improved Shock Graph-Based Edit Distance Approach Using an Adaptive Weighting Scheme. FGIT-FGCN 2009: 501-508 - 2008
- [c11]Hung Q. Truong, Sukhan Lee, Seok-Woo Jang
:
Model-based recognition of 3D objects using intersecting lines. MFI 2008: 656-660 - 2006
- [j5]Seok-Woo Jang
, Gye-Young Kim, Hyung-Il Choi:
Estimating Motion Parameters Using a Flexible Weight Function. IEICE Trans. Inf. Syst. 89-D(10): 2661-2669 (2006) - 2005
- [j4]Seok-Woo Jang
, Marc Pomplun, Gye-Young Kim, Hyung-Il Choi:
Adaptive robust estimation of affine parameters from block motion vectors. Image Vis. Comput. 23(14): 1250-1263 (2005) - [c10]Seok-Woo Jang
, Gye-Young Kim, Hyung-Il Choi:
Shot Transition Detection by Compensating for Global and Local Motions. FSKD (2) 2005: 1061-1066 - 2004
- [c9]Jin-Sung Yoon, Joo-Chul Park, Seok-Woo Jang
, Gye-Young Kim:
A Shakable Snake for Estimation of Image Contours. ICCSA (1) 2004: 9-16 - 2003
- [c8]Seok-Woo Jang
, Marc Pomplun, Min C. Shin:
Block Matching Integrating Intensity, Hue, and Range. DAGM-Symposium 2003: 442-449 - [c7]Seok-Woo Jang
, Marc Pomplun, Gye-Young Kim, Hyung-Il Choi:
Extracting Motion Model Parameters with Robust Estimation. ICCSA (1) 2003: 633-642 - 2002
- [j3]Dae-Sik Jang, Seok-Woo Jang
, Hyung-Il Choi:
Tracking a partially occluded target with a cluster of Kalman filters. Int. J. Intell. Syst. 17(6): 595-607 (2002) - [j2]Seok-Woo Jang
, Hyung-Il Choi:
A strategy of matching blocks at multi-levels. Int. J. Intell. Syst. 17(10): 965-975 (2002) - [j1]Dae-Sik Jang, Seok-Woo Jang
, Hyung-Il Choi:
2D human body tracking with Structural Kalman filter. Pattern Recognit. 35(10): 2041-2049 (2002) - [c6]Seok-Woo Jang, Essam A. El-Kwae, Hyung-Il Choi:
Shaking snakes using color edge for contour extraction. ICIP (2) 2002: 817-820 - [c5]Seok-Woo Jang
, Essam A. El-Kwae, Hyung-Il Choi:
Adaptive Robust Estimation for Filtering Motion Vectors. Rough Sets and Current Trends in Computing 2002: 564-567 - 2001
- [c4]Seok-Woo Jang
, Gye-Young Kim, Hyung-Il Choi:
Detecting Shot Transitions for Video Indexing with FAM. ICANN 2001: 1020-1025 - [c3]Seok-Woo Jang
, Gye-Young Kim, Hyung-Il Choi:
FAM-Based Fuzzy Inference for Detecting Shot Transitions. MLDM 2001: 52-61 - 2000
- [c2]Dae-Sik Jang, Seok-Woo Jang
, Hyung-Il Choi:
Structured Kalman Filter for Tracking Partially Occluded Moving Objects. Biologically Motivated Computer Vision 2000: 248-257 - [c1]Seok-Woo Jang
, Kyu-Jung Kim, Hyung-Il Choi:
Accurate Estimation of Motion Vectors Using Active Block Matching. Rough Sets and Current Trends in Computing 2000: 527-531
Coauthor Index
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