政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/73573
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 113303/144284 (79%)
造访人次 : 50829650      在线人数 : 759
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻
    政大機構典藏 > 資訊學院 > 資訊科學系 > 學位論文 >  Item 140.119/73573


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/73573


    题名: 以情境與行為意向分析為基礎之持續性概念重構個人化影像標籤系統
    Continuous Reconceptualization of Personalized Photograph Tagging System Based on Contextuality and Intention
    作者: 李俊輝
    贡献者: 郭正佩
    楊立行

    Kuo, Pei Jeng
    Yang, Lee Xieng

    李俊輝
    关键词: 個人生命記憶典藏
    影像標籤自動化
    階層式貝氏網路
    認知模擬
    personal archiving
    automatic image-tagging
    hierarchical bayesian network
    cognitive modeling
    日期: 2014
    上传时间: 2015-03-02 10:13:38 (UTC+8)
    摘要: 生活於數位時代,巨量的個人生命記憶使得人們難以輕易解讀,必須經過檢索或標籤化才可以進一步瞭解背後的意涵。本研究著力個人記憶裡繁瑣及週期性的廣泛事件,進行於「情節記憶語意化」以及「何以權衡大眾與個人資訊」兩議題之探討。透過生命記憶平台裡影像標籤自動化功能,我們以時空資訊為索引提出持續性概念重構模型,整合共同知識、個人近況以及個人偏好三項因素,模擬人們對每張照片下標籤時的認知歷程,改善其廣泛事件上註釋困難。在實驗設計上,實作大眾資訊模型、個人資訊模型以及本研究持續性概念重構模型,並招收九位受試者來剖析其認知歷程以及註釋效率。實驗結果顯示持續性概念重構模型解決了上述大眾與個人兩模型上的極限,即舊地重遊、季節性活動、非延續性活動性質以及資訊邊界註釋上的問題,因此本研究達成其個人生命記憶在廣泛事件之語意標籤自動化示範。
    In the digital era, labeling and retrieving are ways to understand the meaning behind a huge amount of lifetime archive. Foucusing on tedious and periodic general events, this study will discuss two issues: (1) the semantics of episodic memory (2) the trade-off between common and personal knowledge. Using the automatic image-tagging technique of lifelong digital archiving system, we propose the Coutinuous Reconceptualization Model which models the cognitive processing of examplar categorization based on temporal-spatial information. Integrating the common knowlegde, current personal life and hobby, the Continuous Reconceptualization Model improves the tagging efficiency. In this experiment, we compare the accuracy of cognitive modeling and tagging efficiency of the three distinct models: the common knowledge model, personal knowledge model and Coutinuous Reconceptualization Model. Nine participants were recruited to label the photos. The results show that the Continous Reconceptualization Model overcomes the limitations inherent in other models, including the auto-tagging problems of modeling certain situations, such as re-visiting places, seasonal activities, noncontinuous activities and information boundary. Consequently, the Continuous Reconceptualization Model demonstrated the efficiency of the automatic image-tagging technique used in the semantic labeling of the general event of personal memory.
    參考文獻: [1] D. L. Schacter, The Seven Sins of Memory: How the Mind Forgets and Remembers. Houghton Mifflin Harcourt, 2002.
    [2] G. Bell, “A personal digital store,” Commun. ACM, vol. 44, pp. 86–91, 2001.
    [3] J. Gemmell, G. Bell, and R. Lueder, “MyLifeBits: a personal database for everything,” Commun. ACM, vol. 49, no. 1, pp. 88–95, 2006.
    [4] M. Conway and C. Pleydell-Pearce, “The construction of autobiographical memories in the self-memory system.,” Psychol. Rev., vol. 107, no. 2, pp. 261–288, 2000.
    [5] E. Berry, N. Kapur, L. Williams, S. Hodges, P. Watson, G. Smyth, J. Srinivasan, R. Smith, B. Wilson, and K. Wood, “The use of a wearable camera, SenseCam, as a pictorial diary to improve autobiographical memory in a patient with limbic encephalitis: a preliminary report.,” Neuropsychol. Rehabil., vol. 17, no. 4–5, pp. 582–601, 2007.
    [6] J. Liu and P. Dolan, “Personalized news recommendation based on click behavior,” in Proceedings of the 15th, 2010.
    [7] P. Maglio and R. Barrett, “Intermediaries personalize information streams,” Commun. ACM, vol. 43, no. 8, pp. 96–101, 2000.
    [8] L. Von Ahn, B. Maurer, C. Mcmillen, D. Abraham, and M. Blum, “reCAPTCHA: Human-Based Character Recognition via Web Security Measures,” Science (80-. )., vol. 321, no. 5895, pp. 1465–1468, 2008.
    [9] J. Lanier, You are Not a Gadget: A Manifesto. Alfred A. Knopf, 2010.
    [10] C. G. Bell and J. Gemmell, Total Recall: How the E-Memory Revolution Will Change Everything. Dutton, 2009.
    [11] L. R. Squire, “Memory and the hippocampus: A synthesis from findings with rats, monkeys, and humans.,” Psychol. Rev., vol. 99, no. 2, pp. 195–231, 1992.
    [12] E. Tulving, “Episodic and semantic memory 1,” Organ. Mem. London Acad., vol. 381, p. e402, 1972.
    [13] W. James, The Principles of Psychology, no. 第 1 卷. Cosimo, Incorporated, 2007.
    [14] J.-M. Guyau, “La gen{è}se de l’id{é}e de temps [The origin of the idea of time],” Guyau idea time, pp. 37–90, 1988.
    [15] T. Ribot, Diseases of memory. Appleton, 1887.
    [16] E. F. Loftus, Eyewitness testimony. Harvard University Press, 1996.
    [17] B. K. Jones and D. P. McAdams, “Becoming Generative: Socializing Influences Recalled in Life Stories in Late Midlife,” J. Adult Dev., vol. 20, no. 3, pp. 158–172, Jul. 2013.
    [18] D. McAdams, “The psychology of life stories.,” Rev. Gen. Psychol., 2001.
    [19] M. B. Brewer and W. Gardner, “Who is this ‘We’? Levels of collective identity and self representations.,” J. Pers. Soc. Psychol., vol. 71, no. 1, pp. 83–93, 1996.
    [20] C. C. Marshall, “Challenges and Opportunities for Personal Digital Archiving.”,” Digit. Pers. Collect. Digit. Era, pp. 90–114, 2011.
    [21] I. Cole, “Human aspects of office filing: Implications for the electronic office,” in Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 1982, vol. 26, no. 1, pp. 59–63.
    [22] D. Barreau and B. A. Nardi, “Finding and Reminding: File Organization from the Desktop,” SIGCHI Bull., vol. 27, no. 3, pp. 39–43, 1995.
    [23] D. Barreau, “The persistence of behavior and form in the organization of personal information,” J. Am. Soc. Inf. Sci. Technol., vol. 59, no. 2, pp. 307–317, 2008.
    [24] P. Galloway, “I, Digital: Personal Collections in the Digital Era. Edited by Christopher A. Lee,” J. Am. Soc. Inf. Sci. Technol., vol. 63, no. 6, pp. 1278–1279, 2012.
    [25] G. J. F. Jones, C. Gurrin, L. Kelly, D. Byrne, and Y. Chen, “Information access tasks and evaluation for personal lifelogs,” 2008.
    [26] D. Byrne, L. Kelly, and G. J. F. Jones, “Multiple multimodal mobile devices: Lessons learned from engineering lifelog solutions,” 2012.
    [27] C. Dobbins, M. Merabti, P. Fergus, and D. Llewellyn-Jones, “Creating human digital memories for a richer recall of life experiences,” Networking, Sensing and Control (ICNSC), 2013 10th IEEE International Conference on. pp. 246–251, 2013.
    [28] C. Dobbins, M. Merabti, P. Fergus, and D. Llewellyn-Jones, “Creating human digital memories with the aid of pervasive mobile devices,” Pervasive Mob. Comput., vol. 12, pp. 160–178, 2014.
    [29] C. Dobbins, M. Merabti, P. Fergus, and D. Llewellyn-Jones, “Capturing Human Digital Memories for Assisting Memory Recall,” in Advances in Physiological Computing, Springer London, 2014, pp. 211–234.
    [30] A. R. Doherty, K. Pauly-Takacs, N. Caprani, C. Gurrin, C. J. A. Moulin, N. E. O’Connor, and A. F. Smeaton, “Experiences of Aiding Autobiographical Memory Using the SenseCam,” Human–Computer Interact., vol. 27, no. 1–2, pp. 151–174, 2012.
    [31] E. Hoven and B. Eggen, “Informing Augmented Memory System Design Through Autobiographical Memory Theory,” Pers. Ubiquitous Comput., vol. 12, no. 6, pp. 433–443, 2008.
    [32] D. Byrne and G. J. F. Jones, “Towards computational autobiographical narratives through human digital memories,” in Proceedings of the 2nd ACM international Workshop on Story Representation, Mechanism and Context, 2008, pp. 9–12.
    [33] D. Pavel, V. Callaghan, and A. K. Dey, “Supporting Wellbeing Through Improving Interactions and Understanding in Self-Monitoring Systems.” 2012.
    [34] B. Kikhia, J. Hallberg, J. E. Bengtsson, S. Savenstedt, and K. Synnes, “Building Digital Life Stories for Memory Support,” Int. J. Comput. Heal., vol. 1, no. 2, pp. 161–176, 2010.
    [35] M. Crete-Nishihata, R. M. Baecker, M. Massimi, D. Ptak, R. Campigotto, L. D. Kaufman, A. M. Brickman, G. R. Turner, J. R. Steinerman, and S. E. Black, “Reconstructing the Past: Personal Memory Technologies Are Not Just Personal and Not Just for Memory,” Human–Computer Interact., vol. 27, no. 1–2, pp. 92–123, 2012.
    [36] E. van den Hoven, C. Sas, and S. Whittaker, “Introduction to this Special Issue on Designing for Personal Memories: Past, Present, and Future,” Human–Computer Interact., vol. 27, no. 1–2, pp. 1–12, 2012.
    [37] D. Draaisma, Vergeetboek. Historische Uitgeverij, 2010.
    [38] A. J. Sellen and S. Whittaker, “Beyond total capture: a constructive critique of lifelogging,” Commun. ACM, vol. 53, no. 5, pp. 70–77, 2010.
    [39] L. Wittgenstein, P. M. S. Hacker, and J. Schulte, Philosophical Investigations. Wiley, 2010.
    [40] E. E. Smith and D. L. Medin, Categories and concepts. Harvard University Press Cambridge, MA, 1981.
    [41] B. H. Ross, “This is like that: The use of earlier problems and the separation of similarity effects.,” J. Exp. Psychol. Learn. Mem. Cogn., vol. 13, no. 4, p. 629, 1987.
    [42] R. Datta, D. Joshi, J. Li, and J. Z. Wang, “Image Retrieval: Ideas, Influences, and Trends of the New Age,” ACM Comput. Surv., vol. 40, no. 2, pp. 5:1–5:60, 2008.
    [43] J. M. Martínez, “MPEG-7 Overview (version 10),” ISO/IEC JTC1/SC29/WG11, 2004.
    [44] S. Committee, “Exchangeable image file format for digital still cameras: Exif version 2.3,” Specif. Camera Imaging Prod. Assoc., vol. 1585, 2010.
    [45] A. S. Inc., “XMP Specification,” 2012.
    [46] IPTC, “IPTC Photo Metadata: Core 1.1/Extension 1.1,” 2010.
    [47] P. Salembier and J. R. Smith, “Overview of multimedia description schemes and schema tools,” Introd. to MPEG-7, pp. 83–93, 2002.
    [48] K.-S. Goh, E. Y. Chang, and W.-C. Lai, “Multimodal Concept-dependent Active Learning for Image Retrieval,” in Proceedings of the 12th Annual ACM International Conference on Multimedia, 2004, pp. 564–571.
    [49] C.-H. Hoi and M. R. Lyu, “A Novel Log-based Relevance Feedback Technique in Content-based Image Retrieval,” in Proceedings of the 12th Annual ACM International Conference on Multimedia, 2004, pp. 24–31.
    [50] X. S. Zhou and T. S. Huang, “Comparing Discriminating Transformations and SVM for Learning During Multimedia Retrieval,” in Proceedings of the Ninth ACM International Conference on Multimedia, 2001, pp. 137–146.
    [51] Y. Wu, E. Y. Chang, K. C.-C. Chang, and J. R. Smith, “Optimal Multimodal Fusion for Multimedia Data Analysis,” in Proceedings of the 12th Annual ACM International Conference on Multimedia, 2004, pp. 572–579.
    [52] Y.-Y. Lin, T.-L. Liu, and H.-T. Chen, “Semantic Manifold Learning for Image Retrieval,” in Proceedings of the 13th Annual ACM International Conference on Multimedia, 2005, pp. 249–258.
    [53] Z. Su, H. Zhang, S. Li, and S. Ma, “Relevance feedback in content-based image retrieval: Bayesian framework, feature subspaces, and progressive learning,” Image Processing, IEEE Transactions on, vol. 12, no. 8. pp. 924–937, 2003.
    [54] N. Vasconcelos and A. Lippman, “Learning from User Feedback in Image Retrieval Systems.,” in NIPS, 1999, pp. 977–986.
    [55] F. Jing, M. Li, H.-J. Zhang, and B. Zhang, “An efficient and effective region-based image retrieval framework,” Image Processing, IEEE Transactions on, vol. 13, no. 5. pp. 699–709, 2004.
    [56] M. A. Conway, S. J. Anderson, S. F. Larsen, C. M. Donnelly, M. A. McDaniel, A. G. R. McClelland, R. E. Rawles, and R. H. Logie, “The formation of flashbulb memories,” Mem. Cognit., vol. 22, no. 3, pp. 326–343, 1994.
    [57] 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,” in Computer Graphics International Conference, 2004.
    [58] P.-Y. Chen and P.-J. Kuo, “Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Geotag Related Annotation Methodology,” in Archiving Conference, 2012, vol. 2012, no. 1, pp. 107–110.
    [59] M. J. L. Pei Jeng Kuo, Po Yen Chen, Yi Ting Wang, Chun Hui Li, “A Ubiquitous Geotag Related Mobile Personal Digital Photograph Annotation System,” in Annual Conference on Engineering & Information Technology, 2014.
    [60] P. J. Kuo, T. Aoki, and H. Yasuda, “MPEG-7 Based Dozen Dimensional Digital Content Architecture for Semantic Image Retrieval Services,” in Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE’04), 2004.
    [61] P. J. Kuo, “Continuous Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Dozen Dimensional Digital Content Architecture,” in Proceedings of IS&T Archiving Conference, 2005.
    描述: 碩士
    國立政治大學
    資訊科學學系
    100753008
    103
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G1007530082
    数据类型: thesis
    显示于类别:[資訊科學系] 學位論文

    文件中的档案:

    档案 大小格式浏览次数
    008201.pdf7071KbAdobe PDF2210检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    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 ©   - 回馈