Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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A Study on the Improvement of Retrieval Efficiency Based on the CRFMD

공통기술표현포맷에 기반한 다매체자료의 검색효율 향상에 관한 연구

  • Published : 2006.09.29
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Abstract

In recent years, theories of image and sound analysis have been proposed to work with text retrieval systems and have progressed quickly with the rapid progress in data processing speeds. This study proposes a common representation format for multimedia documents (CRFMD) composed of both images and text to form a single data structure. It also shows that image classification of a given test set is dramatically improved when text features are encoded together with image features. CRFMD might be applicable to other areas of multimedia document retrieval and processing, such as medical image retrieval, World Wide Web searching, and museum collection retrieval.

최근 수년 동안 영상자료와 음성자료 분석에 대한 이론들이 텍스트자료 검색 시스템과 함께 사용되기 위해서 제안되어 왔으며 데이터 처리 속도의 급격한 향상과 함께 발전되어 왔다. 일반적 검색 방법들은 단지 텍스트만을 사용하지만 텍스트와 그림을 동시에 사용하는 검색 방법 또한 최근에 제안되어 왔다. 본 연구는 다매체자료의 공통기술표현포맷(CRFMD)이라는 이름으로 화상자료와 텍스트자료를 하나의 자료 구조로 통합하는 방법을 제안하고 있으며, 주어진 테스트자료에 대한 화상자료의 유사성 분석에서 텍스트와 그림의 형태소를 함께 사용하였을 때 현격히 개선되어 짐을 보여주고 있다. CRFMD는 의료문서 검색, WWW 검색, 박물관 소장품 검색과 같은 다양한 분야의 다매체자료 검색 및 처리에 응용될 수가 있을 것이다.

Keywords

References

  1. Chang, S.K. and Yang, C.C. 1982. 'Picture Information Measures for Similarity Retrieval.' Computer Vision, Graphics, and Image Processing 23, 366-375 https://doi.org/10.1016/0734-189X(83)90034-8
  2. Demers, M.N. 2000. Fundamentals of Geographic Information Systems. 2nd ed. New York : John Wiley & Sons
  3. Eakins, J.P. and Graham, M. E. 1999. 'Content-based Image Retrieval : a report to the JISC technology applications programme.' Institute for Image Data Research, University of Northumbria at Newcastle
  4. Gastwirth, J.L. 2001. 'A General Definition of the Lorenz Curve.' Econometrica 39 : 1037-1039, November 6 https://doi.org/10.2307/1909675
  5. Goodrum, Abby A, Mark Rorvig, Ki Tai Jeong and C. Suresh. 2001. 'An Open Source Agenda for Research Linking Text and Image Content Features.' Journal of the American Society for Information & Technology, 52(11), 948-953 https://doi.org/10.1002/asi.1147
  6. Jeong, K., Rorvig, M., Jeon, J. and Weng, N. 2001. 'Image Retrieval by Content Measure Metadata Coding.' CIR 2001, Tenth International World Wide Web conference, Hong Kong
  7. Jorgensen, C., Jaimes, A, Benitez, A, and Chang, S. 2001. 'A Conceptual Framework and Empirical Research for Classifying Visual Descriptors.' Journal of the American Society for Information Science & Technology, 52 : 938-947 https://doi.org/10.1002/asi.1161
  8. Korfhage, R.R. 1997. Information Storage and Retrieval. Wiley Computer Publishing
  9. Liu. C.L. 1977. Elements of Discrete Mathematics. McGraw-Hill, Inc. 225-228
  10. Liu, Y. et al. 1998. 'Content-based 3-D Neuroradiologic Image Retrieval : Preliminary Results.' IEEE Int'l Workshop on Content-based Access of Image and Video Databases (CAIVD'98), Bombay, India, 91-100
  11. Lorenz, M.O. 1893. 'Methods of measuring the Concentration of Wealth.' J. of Amer Statist. Assoc. 9 : 209-219
  12. Park, II-Jong K. 1997. 'Comparing Major US OPAC Systems for Developing Countries.' Libri : Int'1 J. of Lib. and Info. Services. 47(4) ; 234-242
  13. Rorvig, M. and Jeong, K. 2000. 'A Common Representation Format for Multimedia Documents.' Texas Center for Digital Knowledge, SLIS, U. of N. Texas : Denton, TX
  14. Salton, Gerard, and James Allen. 2004. 'Text Retrieval using the Vector Processing Model.' Proceedings of the Third Annual Symposium on Document Analysis and Information Retrieval, Las Vegas, Nevada, 9-22
  15. Venters, C.C. and Cooper, M.D. 2000. 'A Review of Content-Based Image Retrieval Systems.' The Joint Information Systems Committee. March
  16. Young, David. 1993. 'Hough Transform.' Sussex Computer Vision, http://www.cogs.susx.ac.uk/users/davidy/teachvision/vision4.html