Digital Library
Search: "[ keyword: 컴퓨터 비전 ]" (8)
Analysis of Research Trends in Deep Learning-Based Video Captioning
Lyu Zhi, Eunju Lee, Youngsoo Kim KIPS Transactions on Software and Data Engineering,
Vol. 13, No. 1, pp. 35-49,
Jan.
2024
https://doi.org/10.3745/KTSDE.2024.13.1.35
Keywords: Video Captioning, computer vision, Natural Language Processing, Deep Learning
https://doi.org/10.3745/KTSDE.2024.13.1.35
Keywords: Video Captioning, computer vision, Natural Language Processing, Deep Learning
Tracking Algorithm For Golf Swing Using the Information of Pixels and Movements
Hong Ro Lee , Chi Jung Hwang The KIPS Transactions:PartB ,
Vol. 12, No. 5, pp. 561-566,
Oct.
2005
10.3745/KIPSTB.2005.12.5.561
10.3745/KIPSTB.2005.12.5.561
Blurred Image Enhancement Techniques Using Stack-Attention
Park Chae Rim, Lee Kwang Ill, Cho Seok Je KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 2, pp. 83-90,
Feb.
2023
https://doi.org/10.3745/KTSDE.2023.12.2.83
Keywords: Deblurring, Attention, Retinex, Color Constancy, computer vision
https://doi.org/10.3745/KTSDE.2023.12.2.83
Keywords: Deblurring, Attention, Retinex, Color Constancy, computer vision
SAAnnot-C3Pap: Ground Truth Collection Technique of Playing Posture Using Semi Automatic Annotation Method
So-Hyun Park, Seo-Yeon Kim, Young-Ho Park KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 10, pp. 409-418,
Oct.
2022
https://doi.org/10.3745/KTSDE.2022.11.10.409
Keywords: Playing Posture, Ground-Truth, Semi-Automatic Annotation Method, Artificial intelligence, computer vision
https://doi.org/10.3745/KTSDE.2022.11.10.409
Keywords: Playing Posture, Ground-Truth, Semi-Automatic Annotation Method, Artificial intelligence, computer vision
Single Shot Detector for Detecting Clickable Object in Mobile Device Screen
Min-Seok Jo, Hye-won Chun, Seong-Soo Han, Chang-Sung Jeong KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 1, pp. 29-34,
Jan.
2022
https://doi.org/10.3745/KTSDE.2022.11.1.29
Keywords: Test Automation, Android Object Detection, Mobile Screen Detection, computer vision, Deep Learning
https://doi.org/10.3745/KTSDE.2022.11.1.29
Keywords: Test Automation, Android Object Detection, Mobile Screen Detection, computer vision, Deep Learning
A Study on the Deep Learning-Based Textbook Questionnaires Detection Experiment
Kim Tae Jong, Han Tae In, Ji Su Park KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 513-520,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.513
Keywords: Deep Learning, Textbook Questionnaires Detection Model, Detection Model, computer vision
https://doi.org/10.3745/KTSDE.2021.10.11.513
Keywords: Deep Learning, Textbook Questionnaires Detection Model, Detection Model, computer vision
Deep Learning Models for Autonomous Crack Detection System
Ji HongGeun, Kim Jina, Hwang Syjung, Kim Dogun, Park Eunil, Kim Young Seok, Ryu Seung Ki KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 5, pp. 161-168,
May.
2021
https://doi.org/10.3745/KTSDE.2021.10.5.161
Keywords: Surface Inspection, Crack Detection, computer vision, Deep Learning
https://doi.org/10.3745/KTSDE.2021.10.5.161
Keywords: Surface Inspection, Crack Detection, computer vision, Deep Learning
A Study on Autonomous Indoor Flight using Computer Vision System and Smartphone
Kye Young Kim , Choi Young KIPS Transactions on Software and Data Engineering,
Vol. 2, No. 5, pp. 353-358,
May.
2013
10.3745/KTSDE.2013.2.5.353
10.3745/KTSDE.2013.2.5.353
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
