簡易檢索 / 詳目顯示

研究生: 陳慧珍
Huei-chen Chen
論文名稱: 網路圖像使用者相關判斷之研究
指導教授: 卜小蝶
學位類別: 碩士
Master
系所名稱: 圖書資訊學研究所
Graduate Institute of Library and Information Studies
論文出版年: 2007
畢業學年度: 95
語文別: 中文
論文頁數: 166
中文關鍵詞: 網路圖像檢索相關判斷相關判斷準則
英文關鍵詞: Web image retrieval, Relevance judgment, Relevance criteria
論文種類: 學術論文
相關次數: 點閱:140下載:3
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 網路以超乎想像的速度蓬勃發展,資料類型與數量愈趨多元廣泛。圖像是繼文字後最常被檢索的資料類型,網路使用者對於圖像的需求日增,但現有的網路圖像檢索系統之功能並無法完全滿足使用者之需求,使用者在選擇圖像資料時常感困擾。
    本研究採實證研究法,透過網路圖像使用者之圖像檢索任務的實施,以觀察、問卷、訪談等方式收集資料,以瞭解影響網路圖像使用者選擇圖像的相關判斷準則及其判斷線索研究結果發現受試者認為「主題性」是最重要的相關判斷準則,在檢索初期時,受試者會先依照圖像合乎主題的程度來初步過濾。但最終影響受試者選擇圖像的因素,多出自於個人主觀意識。本研究亦分析受試者之網路圖像檢索需求與檢索行為,其檢索需求多為專指性之主題,尤以人物類主題居多。目前國內網路圖像使用者研究並不多見,希望透過本研究能為圖像資訊組織與圖像檢索技術發展提供建議,以幫助網路圖像使用者能有效提昇其圖像檢索效益。

    目次 第一章 緒論 第一節 研究動機 1 第二節 研究目的及研究問題 6 第三節 名詞解釋 7 第四節 研究限制 9 第二章 文獻探討 第一節 資訊檢索「相關」之概念 10 第二節 圖像檢索之研究 23 第三節 圖像檢索技術與系統 50 第三章 研究設計與實施 第一節 研究方法 59 第二節 研究工具與分析方式 61 第三節 研究對象 64 第四節 檢索任務 65 第五節 信效度檢驗 66 第六節 研究架構 68 第四章 研究結果與分析 第一節 受試者基本資料分析 69 第二節 圖像檢索任務分析 75 第三節 圖像檢索相關判斷準則分析 86 第四節 相關判斷準則之判斷線索 95 第五節 網路圖像使用者檢索行為特質分析 113 第五章 結論與建議 第一節 結論 137 第二節 建議 146 第三節 對未來研究之建議 149 參考書目 150 附錄1 檢索過程觀察記錄表 159 附錄2 相關判斷準則問卷 160 附錄3 訪談大綱 163 附錄4 徵求研究對象內容 164 附錄5 受試者圖像檢索任務內容 165

    中文文獻:
    INSIGHTXPLORER(2005). 跨越影像與文字的分享世界 網路相簿-網路影像異想世界. Retrieved December 28, 2005, from http://www.find.org.tw/0105/cooperate/cooperate_disp.asp?id=142
    卜小蝶(1996)。圖書資訊檢索技術。台北市:文華圖書館管理。
    卜小蝶(2003)。網路圖像檢索需求初探。國家圖書館館刊,92:1,141-154。
    卜小蝶(2005)。以檢索需求分析模式提昇圖像檢索應用之研究。大學圖書館,9(1),20-34。
    吳美美(1999)。邏輯相關和適切相關-中文資訊檢索系統評鑑量標初探。圖書館學與資訊科學. 42(2), 44-64。
    吳美美(2001)。中文資訊檢索系統使用研究。台北市:台灣學生。
    沈福地(2004)。以檢索記錄分析網路圖像檢索需求之研究。世新大學資訊傳播學系碩士論文,未出版,台北市。
    張育芬(2002)。多次檢索相關判斷變化之研究─以國立師範大學教育系碩士班研究生撰寫學期報告為例。國立政治大學圖書資訊學研究所圖書資訊學組碩士論文,未出版,台北市。
    黃育君(1997)。資訊檢索終端使用者「相關」判斷行為研究。私立淡江大學教育資料科學學系碩士班碩士論文,未出版,台北縣。
    黃雪玲(1995)。資訊需求者與次判斷者相關判斷之比較研究。國立台灣大學圖書館學系碩士論文,未出版,台北市。
    黃慕萱(1996)。資訊檢索中相關概念之研究。台北市:台灣學生。
    蕃薯藤(2004)。蕃薯藤2004台灣網路使用調查。Retrieved December 28, 2005, from http://survey.yam.com/survey2004/index.html

    英文文獻:
    Alexa(2006). Retrieved Noverber 4, 2006, from http://www.alexa.com/data/details/traffic_details?url=www.wretch.cc
    Armitage.L.H. & Enser P.G.B. (1997). Analysis of user need in image archives. Journal of information Science, 23(4), p287-299.
    Barry, C. (1994). User-defined relevance criteria: an exploratory study. Journal of the American Society for Information Science, 45(3), 149–159.
    Barry, C., & Schamber, L. (1998). Users’ criteria for relevance evaluation:A cross-situational comparison. Information Processing & Management, 34, 219–236.
    Bateman, J. (1998). Changes in relevance criteria: a longitudinal study. In: Preston, C., ed. Proceedings of the 61st American Society for Information Science Annual Meeting. Medford, NJ: Information Today, 23–32.
    Batley, S. (1988). Visual information retrieval: Browsing strategies in pictorial databases. Proceedings of 12th International Online Information Meetings, 373-381.
    Bruce, H.W. (1994). A cognitive view of the situational dynamism of user-centered relevance estimation. Journal of the American Society for Information Science, 45, 142–148.
    Chen, H. L. (1999). An analysis of image queries and image retrieval tasks in the field of art history. Unpublished doctoral dissertation. University of Pittsburgh.
    Chen, H. L. (2001). An analysis of image queries in the field of art history. Journal of the American Society for Information Science and Technology, 52(3), 260-273.
    Chen.Z., & Xu,Y.(2005).User-oriented relevance judgment: a conceptual model. Proceeding of the 38 th Hawaii Conference on System Sciences.
    Choi, Y. (2000). The characteristic of user’s queries and users’ relevance criteria in Image retrieval in American History. Unpublished doctoral dissertation at University of Pittsburgh.
    Chu, H.(2003). Information representation retrieval in the digital age. US: NJ, Inforamtion today, Inc..
    Cooper, W.S. (1971). A definition of relevance for information retrieval. Information Storage and Retrieval, 7, 19–37.
    Cuadra, C.A., & Katter, R.V. (1967). Opening the black box of“relevance”. Journal of Documentation, 23, 291–303.
    Efthimiadis, E.N. & Fidel, R.(2000). The effect of query on subject searching behavior of image databases: an exploratory study. In SIGIR 2000, Athens, Greece.
    Eisenberg, M., & Barry, C. (1988). Order effects: A study of the possible influence of presentation order on user judgments of document relevance. Journal of the American Society for Information Science, 39, 293–300.
    Eisenberg, M.B. (1988). Measuring relevance judgments. Information Processing & Management, 24, 373–389.
    Enser, P.G.B., & McGregor, C. (1992). Analysis of visual information retrieval queries. Report on Project G16412 to the British Library Research and Development Department. London: British Library.
    Enser, P.G..B.(1995). Pictorial Information Retrieval. Journal of Documentation, 51(2), 126-170.
    Enser, P.G..B., & Sandom C.(2003). Towards a comprehensive survey of the semantic gap in visual image retrieval. In: Bakker, E.M. et al. (eds.) Image and video retrieval; Second International Conference, CIVR 2003, USA: Urbana-Champaign, IL.
    Fidel, R. (1997). Image retrieval task: Implications for the design and evaluation of image databases. The New Review of Hypermedia and Multimedia, 3, 181-199.
    Fitzgerald, M. A., & Galloway, C. (2001) Relevance Judging, Evaluation, and Decision Making in Virtual Library: A Descriptive Study. Journal of the American Society for Information Science and Technology, 52(12), 989-1010.
    Forst, C. O., Taylor, B., Noakes A., Torres, D.,& Darbenstott, K. (2000). Browse and search patterns in a digital image databases. Information Retrieval, 1, 287-313.
    Froehlich, T.J. (1994). Relevance reconsidered: Towards an agenda for the 21st century: Introduction to special topic issue on relevance research. Journal of the American Society for Information Science, 45, 124-134.
    Goodrum, A., & Spink, A. (2001). Image searching on the Excite Web search engine. Information Processing & Management, 37, 295-311.
    Goodrum, A., Bejune, M. , & Siochi, A. (2003). A State Transition Analysis of Image Search Patterns on the Web, Lecture Notes in Computer Science, 2728 , p 281-290.
    Google Image Search (2005). Retrieved December 28 ,2005, from http://www.google.com/imghp
    Harter, S.P. (1992). Psychological relevance and information science. Journal of the American Society for Information Science, 43, 602-615.
    Hastings, S. K. (1995). Query categories in a study of intellectual access to digitized art images. Proceedings of the 58th Annual Meeting of the American Society for Information Science, 32, 3-8.
    Hirsh, S.G. (1999). Children’s relevance criteria and information seeking on electronic resources. Journal of the American society for information science, 50(14), 1265-1283.
    Hollink, L., Schreber, A.Th., Wielinga, B.J., & Worring, M.(2004). Classification of user image descriptions. International Journal of Human-Computer Studies, 7(1/2), 33-52.
    Holsti, O. (1969). Content analysis for the social sciences and humanities. Don Mills: ON: Addison-Wesley.135-142 pp.
    Hung, T.Y.(2005).Search moves and tactics for image retrieval in the field of journalism: a pilot study. Journal of Educational Media & Library Sciences, 42(1), 329-346.
    Hung, T.Y., Zoeller, C., &Lyon, S. (2005). Relevance judgments for image retrieval in the field of journalism: A pilot study. ICADL 2005, Bangkok, Thailand.
    Janes, J.W. (1991). Relevance judgments and the incremental presentation of document representations. Information Processing & Management, 27(6), 629-646.
    Jansen, B. J., & Pooch, U.(2000). Web user studies: A Review and framework for future work. Journal of the American in Society Information Science & Technology, 52(3), 235–246.
    Jansen, B.J., Spink, A., & Saracevic, T. (2000). Real life, real users, and real needs: A study and analysis of user queries on the web. Information Processing and Management , 36(2), 207-227.
    Jansen, B.J., Spink, A., & Pedersen, J. (2004). The effect of specialized multimedia collections on web searching. Journal of web engineering, 3(3/4), 182-199.
    Jörgensen, C. (1996). Indexing images: Testing an image description template. Proceedings of the 59th Annual Meeting of the American Society for Information Science, 33, 209-213.
    Jörgensen, C. (1998). Attributes of images in describing tasks. Information Processing & Management, 34(2/3), 161-174.
    Jörgensen, C., & Jörgensen, P. (2003). Image querying by image professionals. Proceedings of the 66th Annual Meeting of the American Society for Information Science and Technology, 40, 349-356.
    Jörgensen, C. (2003). Image retrieval: theory and research. US: The Scarecrow Press, Inc..
    Keister, L.A. (1994). User types and queries: Impact on image access systems.In: R. Fidel, T.B. Hahn, E.M. Rasmussen, & P.J. Smith (Eds.), Challenges in indexing electronic text and images. Medford, NJ: Learne.
    Kherfi, M.L, Ziou, D., & Bernardi, A. (2004). Image Retrieval From the World Wide Web: Issues, Techniques, and Systems. ACM Computing Surveys, 36(1), 35-67.
    Krause, M.G. (1988). Intellectual problems of indexing picture collections. Audiovisual Librarian, 14(2), 73–81.
    Lankes, R., David, Nicholson, S., & Goodrum, A. (2003). Image intermediation: Visual resource reference services for digital libraries. In The Digital Reference Research Agenda. Publications in Librarianship , Association of College and Research Libraries; Chicago, IL.
    Layne, S.S. (1994). Some issues in the indexing of images. Journal of the American society for information science, 45(8), 583-588.
    Maglaughlin, K. L., & Sonnewald, H. (2002) . User Perspective on Relevance Criteria: A Comparison among Relevance, Partially Relevance, and Not-Relevance. Journal of the American Society for Information Science and Technology, 53(5), 327-342.
    Markey, K. (1986). Subject access to visual recourses collections: A model for computer construction of thematic catalogs. US: Greenwood press, Inc.
    Markkula, M., & Sormunen, E. (2000). End-user searching challenges indexing practices in the digital newspaper photo archive. Information Retrieval, 1, 259-285.
    McDonald S., & Tait .J. (2003). Search strategies in content-based image retrieval. Proceedings of the 26th annual international ACM SIGIR, 80-87.
    Mizzaro, S. (1997). Relevance: The whole history. Journal of the American Society of Information Science , 48(9), 810-832.
    Nielsen/Netratings(2005a). Double-digit growth in search seen by AOL and ASK JEESES from Q1 to Q2 2005, while top search players Google and Yahoo! Maintain consistent growth, according to Nielsen/NetRatings(20050722). Retrieved December 22, 2005, from http://www.netratings.com/news.jsp
    Nielsen/Netratings(2005b). Volume of search queries jumps 15 percent in past five months, driven by “Big Three” search engines, according to Nielsen/Netratings. (20051213). Retrieved December 22, 2005, from http://www.netratings.com/news.jsp
    Ornager, S. (1997). Image retrieval: Theoretical analysis and empirical user studies on accessing information in images. Proceedings of the 60th Annual Meeting of the American Society for Information Science, 34, 202-211.
    Panofsky, E.(1955). Meaning in the visual arts. Garden City, NY: Doubleday Anchor Books.
    Park, T.(1993)The nature of relevance in information retrieval: an empirical study. Library Quarterly, 63(3), 318–351.
    Picsearch(2005). Retrieved December 28, 2005, from http://www.picsearch.com/
    Pu, H.-T. (2003). An analysis of Web image queries for search. Proceedings of the 66th Annual Meeting of the American Society for Information Science and Technology, 40, 340-348.
    Rasmussen, E. M (1997). Indexing images. Annual Review of Information Science and Technology, 32, 169-196.
    Rui,Y, Huang, T.S., &Chang S.F.(1999). Image retrieval: current techniques, promising directions and open issues. Journal of Visual Communication and Image Representation, 10 , 39-62.
    Saracevic, T. (1970).The concept of relevance in information science: a history review. In Introduction to information science. New York: Bowker, 112-151.
    Saracevic, T. (1975). Relevance: A review of and a framework for the thinking on the notion in information science. Journal of the American Society for Information Science, 26, 321–343.
    Saracevic, T.(1996). Relevance reconsidered ’96. In: Ingwersen, P. and Pors, N., eds. Information science: integration in perspective. Copenhagen: Royal School of Librarianship, 201–218.
    Schamber, L. (1991). Users’ criteria for evaluation in a multimedia environment. Proceedings of the American Society for Information Science, Washington, DC (pp. 126–133). Medford, NJ: Learned Information, Inc.
    Schamber, L. (1994). Relevance and information behavior. Annual Review of Information Science and Technology, 29, 3–48.
    Schamber, L., Eisenberg, M.B., & Nilan, M.S. (1990). A re-examination of relevance: Toward a dynamic, situational definition. Information Processing & Management, 26, 755–775.
    Schamber, L., & Bateman, J. (1996). User criteria in relevance evaluation: Toward development of a measurement scale. Proceedings of the American Society for Information Science, Baltimore, MD (pp. 218–225).Medford, NJ: Learned Information, Inc..
    Shatford, S. (1986). Analyzing the subject of a picture: A theoretical approach. Cataloging & Classification Quarterly, 6(3), 39-62.
    Smith, J.R., & Chang, S.F.(1997). An image and video search engine for the World Wide Web. Storage and Retrieval for Image and Video Databases(SPIE)1997, 84-95
    Spink, A., & Jansen, B.J. (2004). A study of Web search trends. Webology, 1(2). Article 4. Retrieved December 28, 2006, from http://www.webology.ir/2004/v1n2/a4.html
    Tang, R., & Solomon, P. (1998). Towards an understanding of the dynamics of relevance judgments: An analysis of one person’s search behavior. Information Processing & Management, 34, 237–256.
    TASI(2004). A Review of Image Search Engines. Retrieved December 28 , 2005, from http://www.tasi.ac.uk/resources/searchengines.html
    The State Hermitage Museum(2005). Retrieved December 28 , 2005, from http://www.hermitagemuseum.org/
    Turner, J.M. (1995). Comparing user-assigned terms with indexer-assigned terms for storage and retrieval of moving images: Research results. Proceedings of the 58th Annual Meeting of the American Society for Information Science, 32, 9–12.
    Turner, J. M. (1997). Comparing user-assigned terms with indexer-assigned terms for storage and retrieval of moving images: research results. Proceedings of 58th annual meeting of the American society for information science. 32, 9-12.
    Vakkari, P., & Hakala.N.(2000).Changes in relevance criteria and problem stages in task performance. Journal of documentation, 56(5),540-562.
    W3C(2005). About the World Wide Web Consortium (W3C).Retrieved December 28 ,2005, from http://www.w3.org/Consortium/.
    Wang, P. and White, M.D.(1999). A cognitive model of document use during a research project. Study II. Decisions at the reading and citing stages. Journal of the American Society for Information Science, 50(2), 98–114.
    WebSEEK(2005). Retrieved December 28 , 2005, from http://persia.ee.columbia.edu:8008/
    Wilson, P. (1973). Situational relevance. Information Storage and Retrieval, 9(8), 457-471.
    Yahoo! Images Search (2005). Retrieved December 28 , 2005, from http://images.search.yahoo.com/images
    Yang, M., & Marchionini, G.(2005). Exploring user’s video relevance criteria: a pilot study. Proceedings of the American Society for Information Science and Technology, 41, 229-238.
    Yuan, X.J., Belkin, N.J., & Kim, J.Y. ( 2002). The relationship between ASK and relevance criteria. In K. Jarvelin, M. Beaulieu, R. Basza-Yates, & S.H. Myaeng (Eds.), SIGIR'02: Proceedings of the 25th Annual ACM SIGIR International Conference on Research and Development in Information Retrieval (pp. 359-360). New York: ACM.
    Westman, S., & Oittinen, P.(2006). Image retrival by end-users and intermediaries in a journalistic work context. Information interaction in context, Ilix, Copenhagen Denmark. 102-110.

    QR CODE