Proceedings of the 2017 International Conference on Society Science (ICoSS 2017)

A Study on the Evolution of Famous Car Symbols in the 20th Century

Authors
Zongyuan Bian, Yang Du
Corresponding Author
Zongyuan Bian
Available Online April 2017.
DOI
10.2991/icoss-17.2017.53How to use a DOI?
Keywords
Automobile Symbol; Segmentation Method; Evolutionary Feature; Symbolic Trend
Abstract

Based on the case of 30 famous automobile symbols in the world, an image segmentation method based on car symbol is proposed in this paper, and the evolution of symbolic elements in the twentieth century are made a more accurate classification and identification. The trend study is simultaneous with the evolution study. Through a large number of numerical summary analysis, the evolution characteristic elements and similarities of the samples in the same age and the sample evolution type of different ages are divided, a more accurate law of evolution of symbol is obtained by using semantic differences analysis point of view, which is helpful for the later symbol analysis and design.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Society Science (ICoSS 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2017
ISBN
978-94-6252-339-5
ISSN
2352-5398
DOI
10.2991/icoss-17.2017.53How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zongyuan Bian
AU  - Yang Du
PY  - 2017/04
DA  - 2017/04
TI  - A Study on the Evolution of Famous Car Symbols in the 20th Century
BT  - Proceedings of the 2017 International Conference on Society Science (ICoSS 2017)
PB  - Atlantis Press
SP  - 305
EP  - 309
SN  - 2352-5398
UR  - https://doi.org/10.2991/icoss-17.2017.53
DO  - 10.2991/icoss-17.2017.53
ID  - Bian2017/04
ER  -