English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 93218/123590 (75%)
Visitors : 27687671      Online Users : 384
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 > 理學院 > 資訊科學系 > 學位論文 >  Item 140.119/54865
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/54865


    Title: 商標設計之視覺元素分析
    Analysis of visual elements for logo design
    Authors: 陳柏銘
    Chen, Po Ming
    Contributors: 廖文宏
    Liao, Wen Hung
    陳柏銘
    Chen, Po Ming
    Keywords: 商標設計
    美學
    視覺因子
    影像分析
    Logo Design
    Aesthetics
    Visual Factor
    Image Analysis
    Date: 2011
    Issue Date: 2012-10-30 14:01:30 (UTC+8)
    Abstract: 商標是一種藉由圖像或是混和圖像與文字存在的標誌,經由特定的符號或是顏色所組成,利用圖像的組成、配置、形狀、顏色、混合、字體、字體顏色等視覺元素將會帶給人們不同的視覺感受。
    過去的研究中,對於視覺元素在商標中扮演的角色偏向質化的探討,通常多利用使用者測試的方法找到設計元素與商標的相關度,較少應用電腦視覺對於圖像量化分析的方法,本研究的目的在於利用各種視覺特徵的計算方式,分析各種商標中視覺元素的組成,包含商標中圖像的複雜度、和諧度、組成重複度等相關量化指標。
    藉由大量透過網路上收集的商標進行分析後,可發現商標普遍具有低複雜度、高和諧度、低重複度的設計特性,本論文最後試著以商標獨特性指標代替商標辨識度以驗證本論文設計的分析方法可行性。由於在電腦視覺領域中相關於商標美學的研究並不常見,本論文亦希望能對電腦視覺分析應用在設計或美學的領域進行先導性的研究。
    A logo is a mark composed of graph or a combination of text and graph. Typical visual elements in a logo design such as layout, shape, color (foreground and background), composition, and typeface. The graphical mark can exhibit interesting properties by mixing the elements in creative ways.
    Most previous researches regarding the role of visual elements in logo design are of qualitative nature. In this thesis, we propose to incorporate visual feature extraction and analysis algorithms commonly utilized in computer vision to compute proper index and investigate key visual elements in logo design, including complexity, harmony and repetition.
    After analyzing large amount of logos collected from the internet, we find out that most logos are of low complexity, high balance and exhibit some degree of repetition. We propose a new measure of “distinctiveness” and investigate its relationship with to the aforementioned properties. We hope that the results obtained in thesis serve as a catalyst to motivate further research in applying computer vision methods to the area of aesthetics and design.
    Reference: [1] C. Chiu-Shui, "Can style be measured?," Design Studies, vol. 21, pp. 277-291, 2000.
    [2] T. Jacobsen and L. E. A. Hofel, "Aesthetic Judgments of Novel Graphic Patterns : Analyses of Individual Judgments," Perceptual and Motor Skills, vol. 95, pp. 755-766, 2002.
    [3] D. C. L. Ngo and J. G. Byrne, "Aesthetic measures for screen design," in Computer Human Interaction Conference, 1998. Proceedings. 1998 Australasian, 1998, pp. 64-71.
    [4] P. A. Russell, The aesthetics of rectangle proportion : Effects of judgment scale and context vol. 113. Champaign, IL, ETATS-UNIS: University of Illinois Press, 2000.
    [5] D. D. Psicologia, "Complexity and Aesthetic Preference for Diverse Visual Stimuli," Departament de Psicologia, vol. PhD, pp. 1-439, 2007.
    [6] T. Jacobsen, "Beauty and the brain: culture, history and individual differences in aesthetic appreciation," Journal of anatomy, vol. 216, pp. 184-91, Feb 2010.
    [7] H. J. Eysenck, "A New Measure of 'Good Taste' in Visual Art," Leonardo, vol. 16, pp. 229-231, 1983.
    [8] V. Koller, "'Not just a colour': pink as a gender and sexuality marker in visual communication," Visual Communication, vol. 7, pp. 395-423, 2008.
    [9] J. L. Aaker, "Dimensions of Brand Personality," Journal of Marketing Research, vol. 34, pp. 347-356, 1997.
    [10] C. Janiszewski and T. Meyvis, "Effects of Brand Logo Complexity, Repetition, and Spacing on Processing Fluency and Judgment," Journal of Consumer Research, vol. 28, pp. 18-32, 2001.
    [11] R. van der Lans, J. A. Cote, C. A. Cole, S. M. Leong, A. Smidts, P. W. Henderson, C. Bluemelhuber, P. A. Bottomley, J. R. Doyle, A. Fedorikhin, J. Moorthy, B. Ramaseshan, and B. H. Schmitt, "Cross-National Logo Evaluation Analysis: An Individual-Level Approach," Marketing Science, vol. 28, pp. 968-985, 2009.
    [12] R. R. Klink, "Creating Meaningful Brands: The Relationship Between Brand Name and Brand Mark," Marketing Letters, vol. 14, pp. 143-157, 2003.
    [13] F. Koschembar, 閱讀平面設計: 教你掌握設計的配方書: 遠流出版事業股份有限公司, 2010.
    [14] P. W. Henderson and J. A. Cote, "Guidelines for selecting or modifying logos," Journal of Marketing, vol. 62, pp. 14-30, 1998.
    [15] D. G. Lowe, "Object recognition from local scale-invariant features," 1999, pp. 1150-1157 vol. 2.
    [16] H. Bay, T. Tuytelaars, and L. Van Gool, "Surf: Speeded up robust features," Computer Vision–ECCV 2006, pp. 404-417, 2006.
    [17] A. Wilson and A. Chattertee, "The assessment of preference for balance: introducing a new test. ," Empirical Studies of the Arts, vol. 23, pp. 165-180, 2005.
    [18] M. Cardaci, V. Di Gesù, M. Petrou, and M. E. Tabacchi, "A fuzzy approach to the evaluation of image complexity," Fuzzy Sets and Systems, vol. 160, pp. 1474-1484, 2009.
    [19] F. Yaghmaee and M. Jamzad, "Introducing a New Method for Estimation Image Complexity According To Calculate Watermark Capacity," pp. 981-984, 2008.
    [20] I. Mario, M. Chacon, D. Alma, and S. Corral, "Image complexity measure: a human criterion free approach," in Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American, 2005, pp. 241-246.
    [21] J. Rigau, M. Feixas, and M. Sbert, "An Information-Theoretic Framework for Image Complexity," Computational Aesthetics, pp. 177-184, 2005.
    [22] R. O. Duda and P. E. Hart, "Use of the Hough transformation to detect lines and curves in pictures," Communications of the ACM, vol. 15, pp. 11-15, 1972.
    [23] D. H. Ballard, "Generalizing the Hough transform to detect arbitrary shapes," Pattern recognition, vol. 13, pp. 111-122, 1981.
    [24] A. Samal and J. Edwards, "Generalized Hough transform for natural shapes," Pattern Recognition Letters, vol. 18, pp. 473-480, 1997.
    [25] N. Bonnet, "An unsupervised generalized Hough transform for natural shapes," Pattern recognition, vol. 35, pp. 1193-1196, 2002.
    [26] M. R. Teague, "Image analysis via the general theory of moments*," JOSA, vol. 70, pp. 920-930, 1980.
    [27] W. Y. Kim and Y. S. Kim, "A region-based shape descriptor using Zernike moments," Signal Processing: Image Communication, vol. 16, pp. 95-102, 2000.
    [28] F. Mokhtarian, "Silhouette-based isolated object recognition through curvature scale space," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 17, pp. 539-544, 1995.
    [29] C. T. Zahn and R. Z. Roskies, "Fourier descriptors for plane closed curves," Computers, IEEE Transactions on, vol. 100, pp. 269-281, 1972.
    [30] M. Bober, "MPEG-7 visual shape descriptors," Circuits and Systems for Video Technology, IEEE Transactions on, vol. 11, pp. 716-719, 2001.
    [31] D. Marr, Vision: A Computational Investigation into the Human Representation and Processing of Visual Information: Henry Holt & Company, 1983.
    [32] D. Zhang and G. Lu, "A comparative study of curvature scale space and Fourier descriptors for shape-based image retrieval," Journal of Visual Communication and Image Representation, vol. 14, pp. 39-57, 2003.
    [33] D. Zhang and G. Lu, "Evaluation of MPEG-7 shape descriptors against other shape descriptors," Multimedia Systems, vol. 9, pp. 15-30, 2003.
    [34] D. Zhang and G. Lu, "A comparative study on shape retrieval using Fourier descriptors with different shape signatures," 2001, pp. 1-9.
    [35] S. Belongie, J. Malik, and J. Puzicha, "Shape context: A new descriptor for shape matching and object recognition," Advances in neural information processing systems, pp. 831-837, 2001.
    [36] M. Rusiñol and J. Lladós, "Efficient logo retrieval through hashing shape context descriptors," presented at the Proceedings of the 9th IAPR International Workshop on Document Analysis Systems, Boston, Massachusetts, 2010.
    [37] S. Suzuki, "Topological structural analysis of digitized binary images by border following," Computer Vision, Graphics, and Image Processing, vol. 30, pp. 32-46, 1985.
    [38] Y. Rubner, L. J. Guibas, and C. Tomasi, "The earth mover's distance, multi-dimensional scaling, and color-based image retrieval," 1997, pp. 661-668.
    [39] D. S. Doermann, E. Rivlin, and I. Weiss, "Logo recognition using geometric invariants," 1993, pp. 894-897.
    [40] S. Romberg, L. G. Pueyo, R. Lienhart, and R. van Zwol, "Scalable logo recognition in real-world images," 2011, p. 25.
    [41] E. A. El-Kwae and M. R. Kabuka, "A robust framework for content-based retrieval by spatial similarity in image databases," ACM Transactions on Information Systems (TOIS), vol. 17, pp. 174-198, 1999.
    [42] B. Li and F. Fonseca, "Tdd: A comprehensive model for qualitative spatial similarity assessment," Spatial Cognition and Computation, vol. 6, pp. 31-62, 2006.
    [43] R. H. Van Leuken, M. F. Demirci, V. J. Hodge, J. Austin, and R. C. Veltkamp, "Layout indexing of trademark images," 2007, pp. 525-532.
    [44] M. Egenhofer and K. Al-Taha, "Reasoning about gradual changes of topological relationships," Theories and methods of spatio-temporal reasoning in geographic space, pp. 196-219, 1992.
    Description: 碩士
    國立政治大學
    資訊科學學系
    99753013
    100
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0099753013
    Data Type: thesis
    Appears in Collections:[資訊科學系] 學位論文

    Files in This Item:

    File SizeFormat
    301301.pdf2684KbAdobe PDF1553View/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
    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。
    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。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback