English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 110080/141030 (78%)
Visitors : 46387948      Online Users : 833
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 資訊學院 > 資訊科學系 > 學位論文 >  Item 140.119/67155
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/67155


    Title: 多語系個人飲食攝影註記典藏系統輔以群眾外包
    Multilingual Personal Dietary Photograph Annotation System with The Assistance of Crowdsourcing
    Authors: 林睦叡
    Lin, Mu Rui
    Contributors: 郭正佩
    Kuo, Pei Jeng
    林睦叡
    Lin, Mu Rui
    Keywords: 群眾外包
    飲食記錄
    影像標籤
    多國語系問題
    Date: 2013
    Issue Date: 2014-07-01 12:14:34 (UTC+8)
    Abstract: 本研究於個人數位註釋應用程式iPARIS上,建立影像標籤註釋之功能,稱為iPARIS-PLUS。它提供不同於以往文字註釋的新方法,讓使用者可以有另一種選擇,也同時解決在面臨多國語系時的註釋問題,並有效的降低記錄所花費之時間。iPARIS-Plus能讓使用者保有在行動裝置上紀實之便利性的同時,也能兼顧記錄的完整性,讓人們不再將記錄視為一種麻煩。除此之外,我們透過群眾外包的力量將用於註釋的影像標籤轉換為文字後儲存於資料庫中,解決原先因多國語系註釋問題讓使用者無法輸入文字,導致資料庫缺少該筆資料而造成資料空缺。在評估方面,受測者認為影像標籤註釋之方法可以有效的解決多國語系註釋之問題,以及有效節省在行動裝置上打字之時間,更加強了記錄的便利性與完整性,同時也帶來不同以往的新鮮感。而我們藉由群眾外包得到良好的解析率,並且從歷程記錄中發現群眾外包於運作上,越多專業之群眾並不一定帶來越好的成果,只仰賴少部分專業之群眾提供貢獻,反而能減少問題產生,進而得到較好之結果。
    In this study, we created the function of image tags annotating in the application, iPARIS-Plus. It provided a new method of annotation which is different from the text annotations, therefore, users could have another choice. This function could solve the problem of multilingual annotation and reduce the time effectively when users take for the record. iPARIS-Plus allows users to retain the convenience of recording on their mobile device, at the same time, it also considers the integrity of the records, so let people will no longer feel recording is a trouble. In addition, we converted the image tags that used to annotate into text through the crowdsourcing system to solve the problem which users couldn’t enter text because of the multilingual annotation, it resulted in a lack of databases. In the evaluation, users argued that the image tags annotation method could solve the problem of multilingual annotation effectively, as well as saving the time they typing on their moblie devices, even more it can enhance the integrity and convenience of records. We got a good resolution rate of converting the image tags into text by crowdsourcing system and found that more professional crowds do not bring better results. On the contrary, we could rely on a few of professional crowds to reduce the problems, then got a better results.
    Reference: 1 Bolaños, Marc, Maite Garolera, and Petia Radeva. "Active labeling application applied to food-related object recognition." Proceedings of the 5th international workshop on Multimedia for cooking & eating activities. ACM, 2013.
    2 Bush, Vannevar, and As We May Think. "The atlantic monthly." As We May Think 176.1 (1945): 101-108.
    3 Buykx, Lucy, and Helen Petrie. "What Cooks Needs from Multimedia and Textually Enhanced Recipes." Multimedia (ISM), 2011 IEEE International Symposium on. IEEE, 2011.
    4 Camera Finder. http://www.flickr.com/cameras.
    5 Doan, Anhai, Raghu Ramakrishnan, and Alon Y. Halevy. "Crowdsourcing systems on the world-wide web." Communications of the ACM 54.4 (2011): 86-96.
    6 Pishva, Davar, et al. "Bread recognition using color distribution analysis." IEICE TRANSACTIONS on Information and Systems 84.12 (2001): 1651-1659.
    7 Geiger, David, Michael Rosemann, and Erwin Fielt. "Crowdsourcing information systems: a systems theory perspective." Proceedings of the 22nd Australasian Conference on Information Systems (ACIS 2011). 2011.
    8 Bell, C. Gordon, and Jim Gemmell. Total recall: How the e-memory revolution will change everything. Dutton, 2009.
    9 Hoashi, Hajime, Taichi Joutou, and Keiji Yanai. "Image recognition of 85 food categories by feature fusion." Multimedia (ISM), 2010 IEEE International Symposium on. IEEE, 2010.
    10 ISO/IEC 15938-1:2002, “Information technology — Multimedia content description interface — Part 1: Systems,” 2002.
    11 ISO/IEC 15938-2:2002, “Information technology — Multimedia content description interface — Part 2: Description definition language,” 2002.
    12 ISO/IEC 15938-3:2002, “Information technology — Multimedia content description interface — Part 3: Visual,” 2002.
    13 ISO/IEC 15938-4:2002, “Information technology — Multimedia content description interface — Part 4: Audio,” 2002.
    14 ISO/IEC 15938-5:2003, “Information technology — Multimedia content description interface — Part 5: Multimedia description schemes,” 2003.
    15 ISO/IEC 15938-6:2003, “Information technology — Multimedia content description interface — Part 6: Reference software,” 2003.
    16 ISO/IEC 15938-7:2003, “Information technology — Multimedia content description interface — Part 7: Conformance testing,” 2003.
    17 ISO/IEC TR 15938-8:2002, “Information technology — Multimedia content description interface — Part 8: Extraction and use of MPEG-7 descriptions,” 2002.
    18 ISO/IEC 15938-9:2005, “Information technology — Multimedia content description interface — Part 9: Profiles and levels,” 2005.
    19 ISO/IEC 15938-10:2005, “Information technology — Multimedia content description interface — Part 10: Schema definition,” 2005.
    20 ISO/IEC TR 15938-11:2005, “Information technology — Multimedia content description interface — Part 11: MPEG-7 profile schemas,” 2005.
    21 ISO/IEC 15938-12:2008, “Information technology — Multimedia content description interface — Part 12: Query format,” 2008.
    22 Kayo Iizuka, Takuya Okawada, and Yasuki Iizuka. "Food Product Information Supplement System-Corresponding to Consumer Needs for Shopping and Eating Out." Multimedia (ISM), 2011 IEEE International Symposium on. IEEE, 2011.
    23 Kitamura, Keigo, Toshihiko Yamasaki, and Kiyoharu Aizawa. "Food log by analyzing food images." Proceeding of the 16th ACM international conference on Multimedia. ACM, 2008.
    24 Kitamura, Keigo, Toshihiko Yamasaki, and Kiyoharu Aizawa. "Food-Log: Capture, analysis and retrieval of personal food images via web." Proc. Int’l Symposium on Applications and the Internet Workshops. 2009.
    25 Kitamura, Keigo, Toshihiko Yamasaki, and Kiyoharu Aizawa. "Image processing based approach to food balance analysis for personal food logging." Multimedia and Expo (ICME), 2010 IEEE International Conference on. IEEE, 2010.
    26 KPCB Internet Trends. http://www.scribd.com/doc/115395317/2012-KPCB-Internet-Trends-Year-End-Update.
    27 Kuo, Fang-Fei, et al. "Intelligent menu planning: recommending set of recipes by ingredients." Proceedings of the ACM multimedia 2012 workshop on Multimedia for cooking and eating activities. ACM, 2012.
    28 Kuo, Pei-Jeng, Terumasa Aoki, and Hiroshi Yasuda. "Building personal digital photograph libraries: An approach with ontology-based MPEG-7 dozen dimensional digital content architecture." Computer Graphics International, 2004. Proceedings. IEEE, 2004.
    29 Kuo, Pei-Jeng, Terumasa Aoki, and Hiroshi Yasuda. "MPEG-7 based dozen dimensional digital content architecture for semantic image retrieval services." e-Technology, e-Commerce and e-Service, 2004. EEE`04. 2004 IEEE International Conference on. IEEE, 2004.
    30 Kuo, Pei-Jeng, Terumasa Aoki, and Hiroshi Yasuda. "Continuous Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Dozen Dimensional Digital Content Architecture." Archiving Conference. Vol. 2005. No. 1. Society for Imaging Science and Technology, 2005.
    31 Messina, Virginia, Vesanto Melina, and Ann Reed Mangels. "A New Food Guide: For North American Vegetarians." Canadian Journal of Dietetic Practice and Research 64.2 (2003): 82-86.
    32 Miyawaki, Kenzaburo, et al. "A cooking support system for people with higher brain dysfunction." Proceedings of the ACM multimedia 2009 workshop on Multimedia for cooking and eating activities. ACM, 2009.
    33 Morikawa, Chamin, Haruki Sugiyama, and Kiyoharu Aizawa. "Food region segmentation in meal images using touch points." Proceedings of the ACM multimedia 2012 workshop on Multimedia for cooking and eating activities. ACM, 2012.
    34 MPEG. "About MPEG - Achievements". chiariglione.org. http://mpeg.chiariglione.org/achievements.htm. Retrieved 2009-10-31.
    35 MPEG. "Terms of Reference". chiariglione.org. http://mpeg.chiariglione.org/terms_of_reference.htm. Retrieved 2009-10-31.
    36 MPEG. "MPEG standards - Full list of standards developed or under development". chiariglione.org. http://mpeg.chiariglione.org/standards.htm. Retrieved 2009-10-31.
    37 Ota, Saori, et al. "Comparison of Experts` between Non-experts` Apple Peeling Skills and the Designing of Learning Support System." Multimedia (ISM), 2010 IEEE International Symposium on. IEEE, 2010.
    38 Po-Yen Chen and Pei-Jeng Kuo, “Archiving of Personal Digital Photograph Collections with a MPEG-7 based Geotag Related Annotation Methodology,” Published in Archiving 2012 Copenhagen, Denmark; June 2012; p. 107-110; ISBN / ISSN: 978-0-89208-300-8.
    39 Po-Yen Chen, “Building a Mobile Personal Digital Photograph Annotation System Based on Usability Engineering” National Chengchi University, Taipei, 2013.
    40 Viitamaki, S. "The FLIRT model of crowdsourcing: planning and executing collective customer collaboration." Masterarbeit an der Helsinki School of Economics, Department of Marketing and Management, Helsinki (2008).
    41 Xie, Haoran, Lijuan Yu, and Qing Li. "A Hybrid Semantic Item Model for Recipe Search by Example." Multimedia (ISM), 2010 IEEE International Symposium on. IEEE, 2010.
    42 Yamakata, Yoko, et al. "A study of object naming according to the manufacturing processes in a cooking activity." Proceedings of the ACM multimedia 2009 workshop on Multimedia for cooking and eating activities. ACM, 2009.
    43 Yin, Wenyuan, Tao Mei, and Chang Wen Chen. "Crowdsourced Learning to Photograph via Mobile Devices." Multimedia and Expo (ICME), 2012 IEEE International Conference on. IEEE, 2012.
    44 Zepeda, Lydia, and David Deal. "Think before you eat: photographic food diaries as intervention tools to change dietary decision making and attitudes." International Journal of Consumer Studies 32.6 (2008): 692-698
    Description: 碩士
    國立政治大學
    資訊科學學系
    100753019
    102
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0100753019
    Data Type: thesis
    Appears in Collections:[資訊科學系] 學位論文

    Files in This Item:

    File SizeFormat
    301901.pdf8581KbAdobe PDF2773View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback