Journal of KIISE:Databases (한국정보과학회논문지:데이타베이스)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
권호 표지

An Identification and Feature Search System for Scanned Comics

스캔 만화도서 식별 및 특징 검색 시스템

  • 이상훈 (연세대학교 전기전자공학과) ;
  • 최낙연 (연세대학교 전기전자공학과) ;
  • 이상훈 (연세대학교 전기전자공학과)
  • Received : 2014.02.21
  • Accepted : 2014.04.08
  • Published : 2014.08.15
⟨ Previous Next ⟩

Abstract

In this paper, we represent a system of identification and feature search for scanned comics in consideration of their content characteristics. For creating the feature of the scanned comics, we utilize a method of hierarchical symmetry fingerprinting. Proposed identification and search system is designed to give online service provider, such as Webhard, an immediate identification result under conditions of huge volume of the scanned comics. In simulation part, we analyze the robustness of the identification of the fingerprint to image modification such as rotation and translation. Also, we represent a structure of database for fast matching in feature point database, and compare search performance between other existing searching methods such as full-search and most significant feature search.

본 논문에서는 스캔된 만화의 콘텐츠 특성을 고려한 식별 및 특징 검색 시스템을 제안하였다. 스캔 만화의 특징점을 생성하기 위해서 계층적 대칭 핑거프린팅 방법을 활용하였다. 제안하는 핑거프린트 식별 및 검색 시스템은 웹하드와 같은 온라인 서비스 제공자들이 대량의 스캔만화에 대하여 즉각적인 식별 결과를 얻을 수 있도록 설계되었다. 실험에서는 회전, 이동 등의 이미지 변형에 대해서 핑거프린트의 식별 강인성에 대하여 분석하였다. 또한 특징점 데이터베이스에서의 빠른 매칭을 위한 데이터베이스 구조를 제안하였고, 전역 검색 및 최대중요특징 검색과 같은 기존의 다른 검색방법과 성능을 비교하였다.

Keywords

Acknowledgement

Supported by : 한국저작권위원회

References

  1. Korea Creative Content Agency, "Contents business trend report for the fourth quarter report in 2011," Korea Creative Content Agency, 2012.
  2. Citigroup, "2011 Annual Report," Citigroup, 2012.
  3. J. Lee, S. Lee, Y. Seo, W. Yoo, "Robust Video Fingerprinting Based on Hierarchical Symmetric Difference Feature," Proc. of the 20th ACM International Conference on Information and Knowledge Management, pp.2089-2092, 2011.
  4. Lowe, David G., "Object recognition from local scale-invariant features," Computer vision, 1999. The proceedings of the seventh IEEE international conference on, vol.2, IEEE, 1999.
  5. Ho, Anh Khoi Ngo, J-C. Burie, J Ogier, "Panel and speech ballon extraction from comic books," Document Analysis Systems, 2012 10th IAPR International Workshop on. IEEE, pp.424-428, 2012.
  6. Riguad, Christophe, et al., "Robust frame and text extraction from comic books," Graphics Recognition. New Trends and Challenges. Springer Berlin Heidelberg, pp.129-139, 2013.
  7. W. Kim, K. Park, S. Kim, W. Yu, "Design and Implementation of Illegal Content Tracking System Using Hybrid Content Recognition," The 35th Conference of the Korean Information Processing Society, vol.18, no.1, pp.1555-1558, 2011. (in Korean)
  8. M. Minsky, S. Papert, "Perceptrons," MIT Press, 1969.
  9. Y. Cho, "A Study on Metadata Formats for Integration of Cultural Contents: Focus on case to Library, Museum and Art Museum," Journal of the Korean Society for Library and Information Science, vol.38, no.3, pp.201-219, 2004. (in Korean) https://doi.org/10.4275/KSLIS.2004.38.3.201