Digital Library
Search: "[ keyword: Object Extraction ]" (6)
A Study on Object Tracking using Variable Search Block Algorithm
Byoung Muk Min , Hae Seok Oh The KIPS Transactions:PartB ,
Vol. 13, No. 4, pp. 463-470,
Aug.
2006
10.3745/KIPSTB.2006.13.4.463
10.3745/KIPSTB.2006.13.4.463
A New Shadow Removal Method using Color Information and History Data
Hye Seung Choi , A Kun Wang , Young Sung Soh The KIPS Transactions:PartB ,
Vol. 12, No. 4, pp. 395-402,
Aug.
2005
10.3745/KIPSTB.2005.12.4.395
10.3745/KIPSTB.2005.12.4.395
Moving Object Extraction and Relative Depth Estimation of Background regions in Video Sequences
Young Min Park , Chu Seok Chang The KIPS Transactions:PartB ,
Vol. 12, No. 3, pp. 247-256,
Jun.
2005
10.3745/KIPSTB.2005.12.3.247
10.3745/KIPSTB.2005.12.3.247
Object-Based Image Retrieval Using Color Adjacency and Clustering Method
Hyung Jin Lee , Ki Tae Park , Young Shik Moon The KIPS Transactions:PartB ,
Vol. 12, No. 1, pp. 31-38,
Feb.
2005
10.3745/KIPSTB.2005.12.1.31
10.3745/KIPSTB.2005.12.1.31
Object Extraction and Tracking out of Color Image in Real-Time
Nae Won Choi , Hae Seok Oh The KIPS Transactions:PartB ,
Vol. 10, No. 1, pp. 81-86,
Feb.
2003
10.3745/KIPSTB.2003.10.1.81
10.3745/KIPSTB.2003.10.1.81
Automatic Object Extraction from Electronic Documents Using Deep Neural Network
Heejin Jang, Yeonghun Chae, Sangwon Lee, Jinyong Jo KIPS Transactions on Software and Data Engineering,
Vol. 7, No. 11, pp. 411-418,
Nov.
2018
10.3745/KTSDE.2018.7.11.411
Keywords: Object Extraction, Deep Learning, Tensorflow, PDF Document
10.3745/KTSDE.2018.7.11.411
Keywords: Object Extraction, Deep Learning, Tensorflow, PDF Document
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Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
- Vol. 12, No. 11 (Nov. 2023)
- Vol. 12, No. 10 (Oct. 2023)
- Vol. 12, No. 9 (Sep. 2023)
- Vol. 12, No. 8 (Aug. 2023)
- Vol. 12, No. 7 (Jul. 2023)
- Vol. 12, No. 6 (Jun. 2023)
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- Vol. 12, No. 3 (Mar. 2023)
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- Vol. 12, No. 1 (Jan. 2023)
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Vol. 11, 2022
- Vol. 11, No. 12 (Dec. 2022)
- Vol. 11, No. 11 (Nov. 2022)
- Vol. 11, No. 10 (Oct. 2022)
- Vol. 11, No. 9 (Sep. 2022)
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- Vol. 11, No. 1 (Jan. 2022)
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Vol. 10, 2021
- Vol. 10, No. 12 (Dec. 2021)
- Vol. 10, No. 11 (Nov. 2021)
- Vol. 10, No. 10 (Oct. 2021)
- Vol. 10, No. 9 (Sep. 2021)
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Vol. 9, 2020
- Vol. 9, No. 12 (Dec. 2020)
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- Vol. 9, No. 9 (Sep. 2020)
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- Vol. 9, No. 1 (Jan. 2020)
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Vol. 8, 2019
- Vol. 8, No. 12 (Dec. 2019)
- Vol. 8, No. 11 (Nov. 2019)
- Vol. 8, No. 10 (Oct. 2019)
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- Vol. 8, No. 1 (Jan. 2019)
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Vol. 7, 2018
- Vol. 7, No. 12 (Dec. 2018)
- Vol. 7, No. 11 (Nov. 2018)
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Vol. 6, 2017
- Vol. 6, No. 12 (Dec. 2017)
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Vol. 5, 2016
- Vol. 5, No. 12 (Dec. 2016)
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Vol. 4, 2015
- Vol. 4, No. 12 (Dec. 2015)
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- Vol. 4, No. 1 (Jan. 2015)
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Vol. 3, 2014
- Vol. 3, No. 12 (Dec. 2014)
- Vol. 3, No. 11 (Nov. 2014)
- Vol. 3, No. 10 (Oct. 2014)
- Vol. 3, No. 9 (Sep. 2014)
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- Vol. 3, No. 1 (Jan. 2014)
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Vol. 2, 2013
- Vol. 2, No. 12 (Dec. 2013)
- Vol. 2, No. 11 (Nov. 2013)
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- Vol. 2, No. 9 (Sep. 2013)
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- Vol. 2, No. 2 (Feb. 2013)
- Vol. 2, No. 1 (Jan. 2013)
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Vol. 1, 2012
Old Journals
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).