Content-based webtoon fingerprint method

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789881476821
DOIs
Publication statusPublished - 2017 Jan 17
Event2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 - Jeju, Korea, Republic of
Duration: 2016 Dec 132016 Dec 16

Publication series

Name2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016

Other

Other2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
CountryKorea, Republic of
CityJeju
Period16/12/1316/12/16

Fingerprint

Image compression
Testing

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Signal Processing

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 ; Lee, Sanghoon. / 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",
year = "2017",
month = "1",
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doi = "10.1109/APSIPA.2016.7820805",
language = "English",
series = "2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016",
address = "United States",

}

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; Lee, Sanghoon.

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 proceedingConference 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

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PB - Institute of Electrical and Electronics Engineers Inc.

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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). https://doi.org/10.1109/APSIPA.2016.7820805