바로가기메뉴

본문 바로가기 주메뉴 바로가기

Journal of the Korean Society for Library and Information Science

  • P-ISSN1225-598X
  • E-ISSN2982-6292

Article Contents

Prev Next
e-Submission

Vol.44 No.4

Citation Share

An Analysis of Multimedia Search Services Provided by Major Korean Search Portals

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2010, v.44 no.4, pp.395-412
https://doi.org/10.4275/KSLIS.2010.44.4.395

(2010). An Analysis of Multimedia Search Services Provided by Major Korean Search Portals. Journal of the Korean Society for Library and Information Science, 44(4), 395-412, https://doi.org/10.4275/KSLIS.2010.44.4.395

Abstract

This study aims to perform an evaluation of multimedia search services provided by major Korean search portals: Naver, Nate, Daum, Yahoo-Korea, Paran, and Google-Korea. These multimedia search services are evaluated in terms of the metadata of search results, search functionalities, searching methods, other functionalities, and display options. Every search portal offers image and video searching, whereas only Naver, Nate, and Daum offer music searching. Advanced searching methods and functions are mostly developed and supported in image and video searching rath than music searching. Naver, Nate, and Daum support various searching functions which search portals abroad have not developed. Google-Korea supports advanced searching functions. Search portals provide a limited number of metadata in search results. This study could contribute to the development and improvement of portal's multimedia search services.

keywords
Search Portals, Multimedia Searching, Metadata, Search Functionalities, Search Portals, Multimedia Searching, Metadata, Search Functionalities, 검색 포털, 멀티미디어 검색, 메타데이터, 검색 기능

Reference

1.

김성희. 2004. 내용기반 이미지 및 비디오 검색 시스템 성능분석에 관한 연구. 한국비블리아학회지 , 15(2): 97-115.

2.

김성희, 임은주. 2005. 멀티미디어 내용 표현을 위한 메타데이터 비교․분석. 한국도서관․정보학회지 , 36(4): 365-387.

3.

김용, 문성빈. 2007. A Study on Recommendation System Using Data Mining Techniques for Large-sized Music Contents. 정보관리학회지 , 24(2): 89-104.

4.

김용, 소민호. 2009. XML 기반의 동영상콘텐츠 검색 시스템 설계 및 구현. 정보관리학회지 , 26(4): 113-128.

5.

김진아, 김태수. 2001. 동영상 정보의 메타데이터 구축에 관한 연구. 정보관리학회지 , 18(4): 15-35.

6.

노승민, 황인준. 2003. 멀티미디어 검색 시스템의 설계 및 구현. 한국정보과학회논문지: 데이타베이스 , 30(5): 494-506.

7.

박소연. 2010. 국내 포털 이용자들의 멀티미디어 검색 행태 분석. 한국문헌정보학회지 , 44(1): 101-115.

8.

박창섭. 2007. 의미적 연관성을 이용한 멀티미디어 정보 검색. 인터넷정보학회논문지 , 8(5): 67-79.

9.

유소영, 문성빈. 2004. 심미적 인상을 이용한 이미지 검색에 관한 실험적 연구. 정보관리학회지 , 21(4): 187-208.

10.

백우진, 정선은, 김기영, 안의근, 신문선. 2008. Content-based image retrieval using data fusion strategy. 정보관리학회지 , 25(2): 49-68.

11.

Caplan, P. 2004. 메타데이터의 이해 . 오동근 역. 대구: 태일사.

12.

Carson, C., Belongie, S., Greenspan, H., and Malik, J. 2002. “Blobworld: Image segmentation using expectation-maximization and its application to image querying." IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(8): 1026-1038.

13.

Chung, E., and Yoon, J. 2009. “Categorical and specificity differences between user-supplied tags and search query terms for images: an analysis of Flickr tags and Web image search queries." Information Research, 14(3): 408. [online]. [cited 2009. 12. 26]. <http://InformationR.net/ir/14-3/paper408.html>.

14.

Jansen, B. J. 2008. “Searching for digital images on the Web." Journal of Documentation, 64(1): 81-101.

15.

Jansen, B. J., Goodrum, A., and Spink, A. 2000. “Searching for multimedia: analysis of audio, video, and image Web queries." World Wide Web, 3: 249-254.

16.

Kherfi, M., Ziou, D., and Bernardi, A. 2004. “Image retrieval from the World Wide Web: Issues, techniques, and systems." ACM Computing Surveys, 36(1): 35-67.

17.

Lee, D., Barber, R., Niblack, W., Flickner, M., Hafner, J., and Petkovic, D. 1994. “Indexing for complex queries on a query-by-content image database." In Proceedings of the 12th IAPR International conference on pattern recognition: 142-146.

18.

Ozmutlu, C., Spink, A., and Ozmutlu, S. 2003. “Multimedia Web searching trends, 1997- 2001." Information Processing and Management, 39(4): 611-621.

19.

Sebe, N., Lew, S., Zhou, X., Huang, T., and Bakker, E. 2003. “The state of the art in image and video retrieval." In CIVR '03: Proceedings of the International conference on Image and Video Retrieval: 1-8.

20.

Spink, A., and Jansen, B. J. 2006. “Searching multimedia federated content Web collections." Online Information Review, 30(5): 485-495.

21.

Swain, M. J. 1999. “Searching for multimedia on the World Wide Web." In IEEE International conference on multimedia computing and system, 1(1): 32-37.

22.

Tjondronegoro, D., and Spink, A. 2008. “Web search engine multimedia functionality." Information Processing & Management, 44(1): 340-357.

23.

Tjondronegoro, D., Spink, A., and Jansen, B. J. 2009. “A study and comparison of multimedia Web searching: 1997-2006." Journal of the American Society for Information Science and Technology, 60(9): 1756-1768.

Journal of the Korean Society for Library and Information Science

e-Submission OA Policy