Browse > Article
http://dx.doi.org/10.4275/KSLIS.2013.47.3.321

A Study on the Retrieval Effectiveness Based on Image Query Types  

Kim, Seonghee (중앙대학교 문헌정보학과)
Yi, Keunyoung (중앙대학교 문헌정보학과 대학원)
Publication Information
Journal of the Korean Society for Library and Information Science / v.47, no.3, 2013 , pp. 321-342 More about this Journal
Abstract
The purpose of this study was to compare and evaluate retrieval effectiveness of three types of image perception using different retrieval methods. Image types included specific, general, and abstract topics. The retrieval method included text only search, query by example (QBE) search, and a hybrid/hybrid search. Thirty-two college students were recruited for searching topics using Google image search system. The search results were compared with One-Way and Two-Way ANOVA. As a result, text search and hybrid search showed advantage when searching for specific and general topics. On the other hand, the QBE search performed better than both the text-only and hybrid search for abstract topics. The results have implications for the implementation of image retrieval systems.
Keywords
Image Search; Image Types; Text-search; Content-based Search; Hybrid/Hybrid Search; Retrieval Effectiveness;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
연도 인용수 순위
1 김수경, 안기홍. 2005. 시맨틱 주석과 도메인 온톨로지를 이용한 내용기반 이미지 검색. 한국지능정보시스템학회 2005년 추계학술대회논문집, 11: 331-337. (Kim, S.K., & Ahn, K.H. 2005. "Using Semantic Annotation and Ontology Content-Based Image Retrieve." Proceedings of the Korea Inteligent Information System Society Conference, 11: 331-337.)
2 김성희. 2004. 내용기반 이미지 및 비디오 검색 시스템 성능분석에 관한 연구. 한국비블리아학회지, 15(2): 97-115. (Kim, S.H. 2004. "A Study on the Performance Analysis of Content-based Image & Video Retrieval Systems." Journal of the Korean Biblia Society for Library and Information Sience, 15(2): 97-115.)   과학기술학회마을
3 김양우. 2008. 이미지 검색을 위한 영역별 기술어에 관한 연구. 한국문헌정보학회지, 42(1): 253-272. (Kim, Y.W. 2008. "Discipline-based Descriptors for Image Retrieval: Representing Presidential Images of Korea." Journal of the Korean society for library and information science, 42(1): 253-272.)   과학기술학회마을   DOI   ScienceOn
4 모영일, 이철. 2009. 내용기반 이미지 검색에 있어 이미지 속성정보를 활용한 검색 효율성 향상. 한국시뮬레이션학회논문지, 18(2): 39-48. (Mo, Y. I., & Lee, C. 2009. "A Study on Increasing the Efficiency of Image Search Using Image Attribute in the area of content-Based Image Retrieval." Journal of the Korea society for simulation, 18(2): 39-48.)   과학기술학회마을
5 박소연. 2010. 주요 포털들의 멀티미디어 검색 서비스 비교 분석. 한국문헌정보학회지, 44(4): 395-410. (Park, S. Y. 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): 395-410.)   과학기술학회마을   DOI   ScienceOn
6 박우창. 2011. 텍스타일 이미지 검색 및 질감 클러스터링. 한국정보기술학회논문지, 9(3): 189-197. (Park, U.C. 2011. "Textile Image Retrieval and Texture Clustering." Journal of Korean Institute Of Information Technology, 9(3): 189-197.)
7 박창섭. 2007. 의미적 연관성을 이용한 멀티미디어 정보 검색. 한국인터넷정보학회지, 8(5): 67-79. (Park, C.S. 2007. "Multimedia Information Retrieval Using Semantic Relevancy." Journal of Korean Society For Internet Information, 8(5): 67-79.)   과학기술학회마을
8 유소영, 문성빈. 2004. 심미적 인상을 이용한 이미지 검색에 관한 실험적 연구. 정보관리학회지, 21(4): 187-208. (Yu, S.Y., & Moon, S.B. 2004. "An Exploratory Study of Image Retrieval Using Aesthetic Impressions." Journal of the Korean Society for Information Management, 21(4): 187-208.)
9 유승훈, 김덕환, 이석룡, 정진완, 김상희. 2008. 윤곽선 이미지 피라미드와 관심영역 검출을 이용한 SIFT 기반 이미지 유사성 검색. 정보과학회논문지: 데이터베이스, 35(4): 345-355. (Yu, S.H., Kim, D.H., Lee, S.l., Jeoung, C.W., & Kim, S.H. 2008. "SIFT based Image Similarity Search using an Edge Image Pyramid and an Interesting Region Detection." Journal of Computing Science and Engineering: Databse, 35(4): 345-355.)   과학기술학회마을
10 정은경, 윤정원. 2010. 이미지 검색 과정에 나타난 질의전환 및 재구성 패턴에 관한 연구. 정보관리학회지, 27(2): 37-60. (Chung, E. K., & Yoon, J. W. 2010. "Examining Categorical Transition and Query Reformulation Patterns in Image Search Process." Journal of the Korean Society for Information Management, 27(2): 37-60.)   과학기술학회마을   DOI   ScienceOn
11 Armitage, L., & Enser, P. 1997. "Analysis of user need in image archives." Journal of Information Science, 23(4): 287-289.   DOI
12 Bassil, Y. 2012. "Hybrid Information Retrieval Model for Web Images." International Journal of Computer Science & Emerging Technologies, 3(1).
13 Berinstein, P. 1999. "Do you see what I see?: image indexing principles for the rest of us." Online, 23(2): 85-86.
14 Choi1, Y., & Rasmussen, E. M. 2003. "Searching for images: The analysis of users' queries for image retrieval in American history." Journal of the American Society for Information Science and Technology, 54(6): 471-592.   DOI   ScienceOn
15 Chen, H., & Rasmussen, E. 1999. "Intellectual access to images." Library Trends, 48(2): 291-302.
16 Chen, L., Xu, D., Tsang, I. W., & Luo, J. 2012. "Tag-based Image Retrieval Improved by Augmented Features and Group-based Refinement." IEEE Trans. on Multimedia (T-MM), 14(4): 1057-1067.   DOI   ScienceOn
17 Chung, E., & 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).
18 Djordjevic, D., & Izquierdo, E. 2007. "An Object- and User-Driven System for Semantic-Based Image Annotation and Retrieval." IEEE Transactions on Circuits and Systems for Video Technology, 7(3): 313-323.
19 Gao, D. H. Wang, & Lee, C. H. 2006. "Automatic Image Annotation through Multi-Topic Text Categorization." In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, 377-380.
20 Enser, P. 2000. "Visual image retrieval: Seeking the alliance of concept-based and contentbased paradigms." Journal of Information Science, 26(4): 199-210.   DOI
21 Golbeck, J., Koepfler, J., & Emmerling, B. 2011. "An Experimental Study of Social Tagging Behavior and Image Content." Journal of the American Society for Information Science and Technology, 62(9): 1750-1760.   DOI   ScienceOn
22 Hare, J., Lewis, P., Enser, P., & Sandom, C. 2007. "Semantic facets: an in-depth analysis of a semantic image retrieval system." ACM international conference on Image and Video retrieval, 250-257.
23 Hollink, L., Schreiber, A., Wielinga, B., & Worring, M. 2004. "Classification of user image descriptions." International Journal of Human-Computer Studies, 61(5): 601-626.   DOI   ScienceOn
24 Huang, T. S., Chang, E. Y., Rajaram, S., Dagli, C. K., Mandel, M. I., Poliner, G. E., & Ellis, D. P. W. 2008. "Active Learning for Interactive Multimedia Retrieval." IEEE, 96(4): 648-667.   DOI   ScienceOn
25 Jaimes, A., & Chang, S. 2000. "A conceptual Framework for Indexing Visual Information at Mutiple levels." IS&T/SPIE Conference Proceedings. Internet Imaging, Vol.3964: 1-14.
26 Jansen, B. J. 2008. "Searching for digital images on the Web." Journal of Documentation, 64(1): 81-101.   DOI   ScienceOn
27 Kim, W., Song, J., Kim, S., & Park, S. 2008. "Image retrieval model based on weighted visual features determined by relevance feedback." Information Sciences, 178: 4301-4313.   DOI   ScienceOn
28 Lu, Y., Zhang, L., Liu, J., & Tian, Q. 2010. "Constructing concept lexica with small semantic gaps." IEEE Trans. Multimedia, 12(4): 288-299.   DOI   ScienceOn
29 Shatford, S. 1986. "Analyzing the subject of a picture: A Theoretical approach." Cataloging & Classification Quarterly, 5(3): 39-61.
30 Panofsky, E. 1955. "Meaning in the visual arts papers in and the history." Doubleday & Company. Inc.: 364-392.
31 Shaford, S. 1994. "Some issues in the indexing of images." Journal of the American Society for Information Science, 45(8): 584-585.
32 Lee, H.J., & Neal, D. 2010. "A new model for semantic photograph description combining basic levels and user-assigned descriptors." Journal of Information Science, 36(5): 547-565.   DOI   ScienceOn
33 Ogle, V.E., & Stonebraker, M. 1995. "Chabot: Retrieval from relational database of images." IEEE computer, 28(9): 42-43.   DOI   ScienceOn
34 Yang, C. 2004. "Content-based image retrieval: a comparison between query by example and image browsing map approaches." Journal of Information Science, 30(3): 254-267.   DOI   ScienceOn
35 Yang, M., Wildemuth, B. M., & Marchionini, G. 2004. "The relative effectiiveness of concept based versus content-based video retrieval." ACM Multimedia System Journal, 8(6): 536-544.
36 Zhou, X., & Huang, T. 2003. "Relevance feedback in image retrieval: a comprehensive review." in Multimedia Systems, 8(6): 536-544.   DOI   ScienceOn
37 Google Image. .