English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 94986/125531 (76%)
Visitors : 31063268      Online Users : 416
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 > 會議論文 >  Item 140.119/75792
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/75792

    Title: Analysis of visual elements in logo design
    Authors: Liao, Wen-Hung;Chen, Po-Ming
    Contributors: 資科系
    Keywords: Computer vision;Aesthetic Measure;Image features;Large amounts;Logo design;Visual elements;Visual feature extraction;Design
    Date: 2014-08
    Issue Date: 2015-06-15 16:05:27 (UTC+8)
    Abstract: 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, 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 paper, 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, balance 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 minor degree of repetition. We hope that the results obtained in this research serve as a catalyst to motivate further efforts in applying computer vision methods to the area of aesthetics and design. © 2014 Springer International Publishing.
    Relation: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 8698 LNCS, 2014, Pages 73-85, 12th International Symposium on Smart Graphics, SG 2014; Taipei; Taiwan; 27 August 2014 到 29 August 2014; 代碼 107235
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1007/978-3-319-11650-1_7
    DOI: 10.1007/978-3-319-11650-1_7
    Appears in Collections:[資訊科學系] 會議論文

    Files in This Item:

    File Description SizeFormat

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

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback