Implementation of a Diskless Distributed Database System for Large-Scale Webtoon Image Fingerprint Data Retrieval 


Vol. 44,  No. 1, pp. 137-147, Jan.  2019
10.7840/kics.2019.44.1.137


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  Abstract

As the popularity of online Webtoon market grows, the size of illegal copying and distribution of Webtoons is also increasing. Toward the end, Webtoon identification technology is essential to prevent illegal copying and distribution. Among those technologies, the method of searching a fingerprint is highly focused to find the corresponding original image in a large-scale fingerprint stored in a database. Because the amount of data stored in the database is very large, efficient data management and fast search algorithms are essential. In this paper, a diskless distributed system is designed by using multiple CPUs to speed up the search. Visual word clustering with entropy weighting improves the identification performance. The search was speeded up by indexing and query optimization of the DBMS (database management system). The performance was evaluated experimentally. As a result, the identification performance which can be applied in a real-scale Webtoon image environment is proved.

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  Cite this article

[IEEE Style]

D. Kim, H. Park, J. Park, H. Kwon, S. Lee, "Implementation of a Diskless Distributed Database System for Large-Scale Webtoon Image Fingerprint Data Retrieval," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 1, pp. 137-147, 2019. DOI: 10.7840/kics.2019.44.1.137.

[ACM Style]

Doyoung Kim, Hyunwoo Park, Jonghwa Park, Hyuck-Joo Kwon, and Sanghoon Lee. 2019. Implementation of a Diskless Distributed Database System for Large-Scale Webtoon Image Fingerprint Data Retrieval. The Journal of Korean Institute of Communications and Information Sciences, 44, 1, (2019), 137-147. DOI: 10.7840/kics.2019.44.1.137.

[KICS Style]

Doyoung Kim, Hyunwoo Park, Jonghwa Park, Hyuck-Joo Kwon, Sanghoon Lee, "Implementation of a Diskless Distributed Database System for Large-Scale Webtoon Image Fingerprint Data Retrieval," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 1, pp. 137-147, 1. 2019. (https://doi.org/10.7840/kics.2019.44.1.137)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880