政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/70310

政大典藏 > College of Informatics > Department of Computer Science > Theses > Item 140.119/70310

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/70310

Title:	運用詮釋資料之線上社群圖片搜尋系統 Design and Implementation of an Annotation-Based Image Search System for Online Communities
Authors:	范佐玄 Fan, Zuo Syuan
Contributors:	圖書館陳恭 Chen, Kung 范佐玄 Fan, Zuo Syuan
Keywords:	圖片搜尋詮釋資料 image metadata image annotations image search
Date:	2013
Issue Date:	2014-10-01 13:40:58 (UTC+8)
Abstract:	近年搜尋系統的技術日漸完善，不但查詢速度快且精準度也提高，但搜尋的目標內容多是以文字為主。在圖片搜尋這項任務中，傳統的圖片搜尋系統大致分為兩種方法：一是採用低階的圖形識別方式，或是採用高階的文字內容，利用文字標籤等資訊來協助辨識圖片內容。本論文運用特定結構的詮釋資料(Annotation Data) 來協助辨識圖片內容，有別於文字標籤和圖片的簡單連結，我們採用的詮釋資料可以加註在照片上的特定區域，並針對該區域內的圖片內容歸屬類別以及補充文字說明。本論文並實作了一個線上社群圖片搜尋系統，提供線上社群針對有添加這種詮釋資料的圖片進行搜尋。本圖片搜尋系統除了讓使用者能夠簡單輸入關鍵字來尋找照片之外，並能夠限制關鍵字對應的類別是人物或是時、地、物不同屬性，還會根據照片庫內的資料關聯性來針對使用者輸入的關鍵字推薦相關的內容。
Reference:	[1] George W. Furnas , Caterina Fake , Luis von Ahn , Joshua Schachter , Scott Golder , Kevin Fox , Marc Davis , Cameron Marlow , Mor Naaman, Why do tagging systems work?, CHI `06 extended abstracts on Human factors in computing systems, April 22-27, 2006, Montréal, Québec, Canada. [2] Lassila, O., Swick, R. (1998). The Resource Description Framework (RDF) Model & Syntax. W3C Working Draft. http://www.w3.org/TR/WD-rdf-syntax. [3] Stefan Decker, Dan Brickley, Janne Saarela, Jürgen Angele, A Query and Inference Service for RDF, W3C Query Languages Workshop (1998), http://purl.org/net/rdf/papers/QL98-queryservice [4] B. McBride, "Jena: A Semantic Web Toolkit", IEEE Internet Computing, November - December 2002. [5] Ariel Ortiz, Web development with python and django, Proceedings of the 43rd ACM technical symposium on Computer science education. ACM, 2012. P. 686. [6] Datta, R., Joshi, D., Li, J. and Wang, J., Image Retrieval: Ideas, Influences, and Trends of the New Age. in ACM Computing Surveys, (2008). [7] Yan, R., Natsev, A., and Campbell, M. 2007., An efﬁcient manual image annotation approach based on tagging and browsing. In Workshop on Multimedia Information Retrieval on the Many Faces of Multimedia Semantics. ACM, New York, 13–20. [8] A. Leff and J. Rayfield "Web-application development using the Model/View/Controller design pattern", Proc. Int. Enterprise Distrib. Object Comput. Conf., pp.118 -127 2001 [9] Lavrenko, V., R. Manmatha, and J. Jeon: 2004, ‘A model for learning the semantics of pictures’. In: Advances in Neural Information Processing Systems 16. [10] A. Goodrum. Image information retrieval: An overview of current research. Informing Science, 3(2):63–67, 2000. [11] Blei, D. M. and M. I. Jordan: 2003, ‘Modeling annotated data’. In: Proc. ACM SIGIR. pp. 127–134. [12] Carneiro, G. and N. Vasconcelos: 2005a, ‘A database centric view of semantic image annotation and retrieval’. In: SIGIR. pp. 559 – 566. [13] Makadia, A.; Pavlovic, V.; and Kumar, S. 2010. Baselines for image annotation. In IJCV, 90(1):88–105. [14] S.-J. P. Jae-Hun Choi, Seong-Hee Park, "Design and imple-mentation of a concept-based image retrieval system with edge description templates," in SPIE Storage and Retrieval Methods and Application for Multmedia, vol. 5307, 2004, pp. 571–581. [15] Wilson, G., Aruliah, D., Brown, C.T., Hong, N.P.C., Davis, M., Guy, R.T., Haddock, S.H., Huff, K., Mitchell, I.M., Plumbley, M.D., et al. (2012). Best practices for scientific computing. [16] Google. Protocol Buffers: Google`s Data Interchange Format. Documentation and open source release, http://code.google.com/p/protobuf/ [17] Datta, Ritendra, Joshi, Dhiraj, Li, Jia, Wang, James Z., 2008. Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys 40 (2) (Article 5). [18] P. Enser, Visual image retrieval: Seeking the alliance of concept-based and content-based paradigms, Journal of Information Science 26(4) (2000) 199–210.
Description:	碩士
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0100753027
Data Type:	thesis
Appears in Collections:	[Department of Computer Science ] Theses

Files in This Item:

File	Description	Size	Format
302701.pdf		1550Kb	Adobe PDF2	530	View/Open

View Licence

社群 sharing

Loading...