Content-based webtoon fingerprint method

Doyoung Kim; Sang Hoon Lee; Sagar Vasant Jadhav; Sanghoon Lee

doi:10.1109/APSIPA.2016.7820805

Content-based webtoon fingerprint method

Doyoung Kim, Sang Hoon Lee, Sagar Vasant Jadhav, Sanghoon Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This paper proposes a fingerprint method for webtoon identification using frequency features. The proposed fingerprint method uses features of a webtoon extracted from frequency components of each row of the webtoon image. Applying the proposed fingerprint method, the perfect accuracy is achieved for webtoon identification with randomly selected webtoon patches for testing. We compared our proposed method with a global thresholding method in frequency domain. Simulation results show that our method gets 100% accuracy with distorted (JPEG compression) images while the global thresholding method gets 32% accuracy only.

Original language	English
Title of host publication	2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9789881476821
DOIs	https://doi.org/10.1109/APSIPA.2016.7820805
Publication status	Published - 2017 Jan 17
Event	2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 - Jeju, Korea, Republic of Duration: 2016 Dec 13 → 2016 Dec 16

Publication series

Name	2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016

Other

Other	2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
Country/Territory	Korea, Republic of
City	Jeju
Period	16/12/13 → 16/12/16

Bibliographical note

Publisher Copyright:
© 2016 Asia Pacific Signal and Information Processing Association.

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Information Systems
Signal Processing

Access to Document

10.1109/APSIPA.2016.7820805

Cite this

Kim, D., Lee, S. H., Jadhav, S. V., & Lee, S. (2017). Content-based webtoon fingerprint method. In 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 [7820805] (2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2016.7820805

Kim, Doyoung ; Lee, Sang Hoon ; Jadhav, Sagar Vasant et al. / Content-based webtoon fingerprint method. 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016. Institute of Electrical and Electronics Engineers Inc., 2017. (2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016).

@inproceedings{84afce812d85428bbdec9b3fcd0402e0,

title = "Content-based webtoon fingerprint method",

abstract = "This paper proposes a fingerprint method for webtoon identification using frequency features. The proposed fingerprint method uses features of a webtoon extracted from frequency components of each row of the webtoon image. Applying the proposed fingerprint method, the perfect accuracy is achieved for webtoon identification with randomly selected webtoon patches for testing. We compared our proposed method with a global thresholding method in frequency domain. Simulation results show that our method gets 100% accuracy with distorted (JPEG compression) images while the global thresholding method gets 32% accuracy only.",

author = "Doyoung Kim and Lee, {Sang Hoon} and Jadhav, {Sagar Vasant} and Sanghoon Lee",

note = "Publisher Copyright: {\textcopyright} 2016 Asia Pacific Signal and Information Processing Association.; 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 ; Conference date: 13-12-2016 Through 16-12-2016",

year = "2017",

month = jan,

day = "17",

doi = "10.1109/APSIPA.2016.7820805",

language = "English",

series = "2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016",

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Kim, D, Lee, SH, Jadhav, SV & Lee, S 2017, Content-based webtoon fingerprint method. in 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016., 7820805, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016, Institute of Electrical and Electronics Engineers Inc., 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016, Jeju, Korea, Republic of, 16/12/13. https://doi.org/10.1109/APSIPA.2016.7820805

Content-based webtoon fingerprint method. / Kim, Doyoung; Lee, Sang Hoon; Jadhav, Sagar Vasant et al.

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7820805 (2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Content-based webtoon fingerprint method

AU - Kim, Doyoung

AU - Lee, Sang Hoon

AU - Jadhav, Sagar Vasant

AU - Lee, Sanghoon

PY - 2017/1/17

Y1 - 2017/1/17

N2 - This paper proposes a fingerprint method for webtoon identification using frequency features. The proposed fingerprint method uses features of a webtoon extracted from frequency components of each row of the webtoon image. Applying the proposed fingerprint method, the perfect accuracy is achieved for webtoon identification with randomly selected webtoon patches for testing. We compared our proposed method with a global thresholding method in frequency domain. Simulation results show that our method gets 100% accuracy with distorted (JPEG compression) images while the global thresholding method gets 32% accuracy only.

AB - This paper proposes a fingerprint method for webtoon identification using frequency features. The proposed fingerprint method uses features of a webtoon extracted from frequency components of each row of the webtoon image. Applying the proposed fingerprint method, the perfect accuracy is achieved for webtoon identification with randomly selected webtoon patches for testing. We compared our proposed method with a global thresholding method in frequency domain. Simulation results show that our method gets 100% accuracy with distorted (JPEG compression) images while the global thresholding method gets 32% accuracy only.

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M3 - Conference contribution

AN - SCOPUS:85013815142

T3 - 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016

BT - 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016

Y2 - 13 December 2016 through 16 December 2016

ER -

Kim D, Lee SH, Jadhav SV, Lee S. Content-based webtoon fingerprint method. In 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7820805. (2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016). doi: 10.1109/APSIPA.2016.7820805

Content-based webtoon fingerprint method

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