學術產出-Proceedings

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 Analysis of visual elements in logo design
作者 Liao, Wen-Hung;Chen, Po-Ming
廖文宏;陳柏銘
貢獻者 資科系
關鍵詞 Computer vision; Aesthetic Measure; Image features; Large amounts; Logo design; Visual elements; Visual feature extraction; Design
日期 2014-08
上傳時間 15-Jun-2015 16:05:27 (UTC+8)
摘要 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.
關聯 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
資料類型 conference
DOI http://dx.doi.org/10.1007/978-3-319-11650-1_7
dc.contributor 資科系
dc.creator (作者) Liao, Wen-Hung;Chen, Po-Ming
dc.creator (作者) 廖文宏;陳柏銘zh_TW
dc.date (日期) 2014-08
dc.date.accessioned 15-Jun-2015 16:05:27 (UTC+8)-
dc.date.available 15-Jun-2015 16:05:27 (UTC+8)-
dc.date.issued (上傳時間) 15-Jun-2015 16:05:27 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75792-
dc.description.abstract (摘要) 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.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) 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
dc.subject (關鍵詞) Computer vision; Aesthetic Measure; Image features; Large amounts; Logo design; Visual elements; Visual feature extraction; Design
dc.title (題名) Analysis of visual elements in logo design
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1007/978-3-319-11650-1_7
dc.doi.uri (DOI) http://dx.doi.org/10.1007/978-3-319-11650-1_7