[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2019.24.01.057

An Efficient Comparing and Updating Method of Rights Management Information for Integrated Public Domain Image Search Engine

Kim, Il-Hwan (Dept. of Computer Science and Engineering, Soongsil University)
Hong, Deok-Gi (Dept. of Computer Science and Engineering, Soongsil University)
Kim, Jae-Keun (Dept. of Computer Science and Engineering, Soongsil University)
Kim, Young-Mo (Dept. of Computer Science and Engineering, Soongsil University)
Kim, Seok-Yoon (Dept. of Computer Science and Engineering, Soongsil University)

Publication Information

Journal of the Korea Society of Computer and Information / v.24, no.1, 2019 , pp. 57-65 More about this Journal

Abstract

In this paper, we propose a Rights Management Information(RMI) expression systems for individual sites are integrated and the performance evaluation is performed to find out an efficient comparing and updating method of RMI through various image feature point search techniques. In addition, we proposed a weighted scoring model for both public domain sites and posts in order to use the most latest RMI based on reliable data. To solve problem that most public domain sites are exposed to copyright infringement by providing inconsistent RMI(Rights Management Information) expression system and non-up-to-date RMI information. The weighted scoring model proposed in this paper makes it possible to use the latest RMI for duplicated images that have been verified through the performance evaluation experiments of SIFT and CNN techniques and to improve the accuracy when applied to search engines. In addition, there is an advantage in providing users with accurate original public domain images and their RMI from the search engine even when some modified public domain images are searched by users.

Keywords

Public Domain Image; RMI; dHash; Average Hash; CNN; Weighted Scoring Model;

Citations & Related Records

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