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    政大機構典藏 > 資訊學院 > 資訊科學系 > 學位論文 >  Item 140.119/61996
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/61996


    Title: 以使用性工程建構行動個人化數位攝影註釋系統
    Building a Mobile Personal Digital Photograph Annotation System Based on Usability Engineering
    Authors: 陳柏諺
    Chen, Po Yen
    Contributors: 郭正佩
    陳柏諺
    Chen, Po Yen
    Keywords: 行動攝影註釋系統
    使用者介面設計
    使用性工程
    使用性測試
    mobile photograph annotation system
    user interface design
    usability engineering
    usability testing
    Date: 2013
    Issue Date: 2013-12-02 17:47:38 (UTC+8)
    Abstract: 隨著數位相機、智慧型手機等影像記錄產品的普及,人們可以隨時隨地按下快門,使得個人相片的數量不斷的增長。倘若照片中缺少了註釋,進行搜尋檢索大量的個人照片是困難的。雖然如此,人們卻會因為繁瑣累人的照片註釋工作而缺乏意願。
    本研究藉由Kuo所發展出的PARIS (Personal Archiving and Retrieving Image System)作為來源系統架構,其系統解決了大部分個人數位影像語義標註的困難,也利用半自動註記方法減少使用者註釋負擔。但由於過去缺乏行動載具,PARIS並未開發一個現代化的行動註釋系統,來協助一般使用者進行個人影像註釋。
    為了解決此問題,本研究利用使用性工程進行系統的建構,以設計及開發出一套現代化的行動影像註釋系統iPARIS (Integrated Personal Archiving and Retrieving Image System)。iPARIS擴展了PARIS設計出符合行動載具的後設資料結構與本體,包含將PARIS所定義的DDDC後設資料標準擴充為得以群眾註記之社群媒體地理標籤的iDDDC (Integrated Dozen Dimensional Digital Content),以及在既有的STO (Spatial and Temporal Based Ontology)的空間架構中加入更具彈性的地理標籤關聯方法GRO (Geotag Related Ontology)。iPARIS並利用工作流程設計、介面線稿設計、視覺設計、系統實作、使用者參與設計等步驟來設計及開發系統,再以迭代設計方法不斷地改善系統的使用者介面及使用者體驗。iPARIS在建置完成後利用參與啟發式評估量表、手勢次數、操作時間、操作路徑、錯誤次數進行使用性測試,而其測試結果也達預期的使用性目標。更進一步,透過分析使用者操作系統的實際行為來找出系統存在的使用性問題,並提出未來系統的改進方式。
    透過完整的規劃與適切的設計系統介面,讓使用者在拍照、註釋、組織及管理照片都可以在行動應用程式上完成,並使此系統能滿足具有效率、具學習性、具記憶性、低錯誤率及高滿意度等Nielsen所提出的使用性標準,以降低個人影像註釋時的負擔,並增加使用者註釋個人照片的意願,以應付日益增長地個人數位影像資料的管理需求。
    With the widespread use of photograph recording products, such as digital camera and smartphone, people take photographs easily so that the number of personal photographs increases unceasingly. If photographs are lacking of annotation, searching and retrieving the large number of personal photographs become difficult. However, people are usually reluctant to the cumbersome and exhausted annotation work.
    In 2004, Kuo et al. developed PARIS (Personal Archiving and Retrieving Image System) to solve these problems. Based on MPEG-7, PARIS resolved most difficulties of personal digital image semantic annotation and lightened users’ annotation burdens by semi-automatic annotation methods. However, because of the lack of mobile device at that time, PARIS did not develop a modern mobile annotation system to help ordinary people annotate personal photographs.
    Therefore, this thesis builds a system with usability engineering as well as designs and develops a modern mobile image annotation system iPARIS (Integrated Personal Archiving and Retrieving Image System). iPARIS expands PARIS architecture to add the support for mobile. It expands PARIS DDDC metadata standard to iDDDC (Integrated Dozen Dimensional Digital Content) which is a crowdsourcing annotation enabled by third party social networking services, and provides STO’s spatial ontology a more flexible geo-information description methodology GRO (Geotag Related Ontology). iPARIS also takes the steps of workflow design, wireframe design, visual design, system implementation, participatory design to build the system; moreover, it keeps improving the user interface and user experience by iterative design. After implementing iPARIS, we conduct usability testing including participatory heuristic evaluation, gesture times, operation time, gesture path, error times, and interview. The test results reach the expected usability goals. Furthermore, the thesis finds some usability problems by analyzing users’ behaviors when they are using the application and brings future improvement for the system.
    By integral planning and appropriate interface design, this system lets user take, annotate, organize, and mange personal photos in a mobile application. We hope that iPARIS can meet the usability index to lighten the burdens of personal photograph annotation, arousing users’ desire to annotate personal photographs, and meet the growing needs for the management of personal digital photograph information.
    Reference: [1] G. Bell and J. Gemmell, Total Recall: How the E-Memory Revolution Will Change Everything. Dutton, 2009.
    [2] NBC News, 2013. http://instagram.com/p/W2FCksR9-e/.
    [3] KPCB Internet Trends. http://www.scribd.com/doc/115395317/2012-KPCB-Internet-Trends-Year-End-Update.
    [4] Camera Finder. http://www.flickr.com/cameras.
    [5] M. Bamberg, New Image Frontiers: Defining the Future of Photography. Cengage Learning PTR, 2012.
    [6] P. J. Kuo, T. Aoki, and H. Yasuda, “Building personal digital photograph libraries: an approach with ontology-based MPEG-7 Dozen Dimensional Digital Content architecture,” presented at the Proceedings of the 2004 Computer Graphics International (CGI`04), 2004, pp. 482–489.
    [7] P. J. Kuo, T. Aoki, and H. Yasuda, “MPEG-7 Based Dozen Dimensional Digital Content Architecture for Semantic Image Retrieval Services,” presented at the Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE`04), 2004, pp. 518–525.
    [8] P. J. Kuo, T. Aoki, and H. Yasuda, “Continuous Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Dozen Dimensional Digital Content Architecture,” presented at the Proceedings of the Second IS&T Archiving Conference, 2005, pp. 188–192.
    [9] P. J. Kuo, “Continuous Personal Digital Photograph Archival and Retrieval with Spatial and Tempopal Coordinated MPEG-7 Description Scheme,” University of Tokyo, 2007.
    [10] O. Lassila, “Semantic Web Soul Searching,” Wilbur-and-O blog, March 19, 2007.
    [11] R. Agrawal, W. I. Grosky, and F. Fotouhi, “Image Clustering and Retrieval Using MPEG-7,” in The handbook of MPEG applications: standards in practice, no. 9, John Wiley & Sons Inc, 2011, pp. 221–239.
    [12] D. G. Lowe, “Object recognition from local scale-invariant features,” vol. 2, pp. 1150–1157, 1999.
    [13] H. Bay, T. Tuytelaars, and L. Van Gool, “Surf: Speeded up robust features,” Computer Vision–ECCV 2006, pp. 404–417, 2006.
    [14] G. Wei, Z. Hai, M. Zhan, and Z. Lizhong, “Face Recognition Based on PCA and SVM Optimized by MEB,” presented at the Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on, 2010, pp. 68–71.
    [15] S. Committee, “Exchangeable image file format for digital still cameras: Exif version 2.3,” Specification, Camera & Imaging Products Association, vol. 1585, 2010.
    [16] IPTC, “IPTC Photo Metadata: Core 1.1/Extension 1.1,” Jul. 2010.
    [17] D. I. Group, “DIG35 Specification,” Apr. 2001.
    [18] “Dublin Core Metadata Element Set, Version 1.1,” 2012.
    [19] Adobe Systems Inc., “XMP Specification,” 2012.
    [20] J. M. Martínez, “MPEG-7 Overview (version 10),” ISO/IEC JTC1/SC29/WG11, N6828, Oct. 2004.
    [21] E. Hyvönen, A. Styrman, and S. Saarela, “Ontology-Based Image Retrieval,” presented at the Proceedings of XML Finland 2002 Conference, 2002.
    [22] A. Jaimes and J. R. Smith, “Semi-automatic, data-driven construction of multimedia ontologies,” Multimedia and Expo, IEEE International Conference on, vol. 1, pp. 781–784, 2003.
    [23] A. T. Schreiber, B. Dubbeldam, J. Wielemaker, and B. Wielinga, “Ontology-Based Photo Annotation,” IEEE Intelligent Systems, vol. 16, no. 3, pp. 66–74, 2001.
    [24] K. Rodden and K. R. Wood, “How do people manage their digital photographs?,” presented at the CHI `03: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2003.
    [25] B. S. Manjunath, P. Salembier, and T. Sikora, Introduction to Mpeg-7: Multimedia Content Description Interface. John Wiley & Sons Inc, 2002.
    [26] P. Salembier and J. Smith, “Overview of Multimedia Description Schemes and Schema Tools,” in Introduction to Mpeg-7: Multimedia Content Description Interface, no. 6, John Wiley & Sons Inc, 2002.
    [27] A. Wilhelm, Y. Takhteyev, R. Sarvas, N. Van House, and M. Davis, “Photo annotation on a camera phone,” presented at the CHI `04 extended abstracts on Human factors in computing systems, New York, NY, USA, 2004, pp. 1403–1406.
    [28] M. Naaman and R. Nair, “ZoneTag`s Collaborative Tag Suggestions: What is This Person Doing in My Phone?,” IEEE MultiMedia, vol. 15, no. 3, pp. 34–40, 2008.
    [29] Instagram. http://instagram.com/.
    [30] N. Bevan, “Human-computer interaction standards,” Advances in Human Factors/Ergonomics, vol. 20, pp. 885–890, 1995.
    [31] J. Nielsen, Usability Engineering. Academic Press, 1993.
    [32] J. Nielsen and R. Molich, “Heuristic evaluation of user interfaces,” pp. 249–256, 1990.
    [33] J. Nielsen and R. L. Mack, Usability inspection methods. John Wiley & Sons Inc, 1994.
    [34] A. Sears and J. A. Jacko, Eds., The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications, Second Edition. CRC Press, 2009.
    [35] 林欣瑤。以使用性原則設計並探討個人化飲食管理系統介面。國立清華大學碩士論文,2011。
    [36] Apple, iOS Human Interface Guidelines, 2012. http://developer.apple.com/library/ios/documentation/UserExperience/Conceptual/MobileHIG/MobileHIG.pdf
    [37] Google, Android Design Principles. http://developer.android.com/design/get-started/principles.html
    [38] M. J. Muller and A. McClard, “Validating an extension to participatory heuristic evaluation: quality of work and quality of work life,” pp. 115–116, 1995.
    [39] M. J. Muller, L. Matheson, C. Page, and R. Gallup, “Methods & tools: participatory heuristic evaluation,” interactions, vol. 5, no. 5, pp. 13–18, 1998.
    [40] P. Y. Chen and P. J. Kuo, “Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Geotag Related Annotation Methodology,” presented at the Proceedings of the Nine IS&T Archiving Conference, 2012.
    [41] D. D. Zad and H. Agius, “An MPEG-7 Profile for Collaborative Multimedia Annotation,” in The handbook of MPEG applications: standards in practice, no. 11, John Wiley & Sons Inc, 2011, pp. 263–291.
    Description: 碩士
    國立政治大學
    資訊科學學系
    99753015
    102
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0099753015
    Data Type: thesis
    Appears in Collections:[資訊科學系] 學位論文

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