The Role of Images in the Performance of Crowdfunding Projects

DOI

10.2991/aebmr.k.220307.374How to use a DOI?

Keywords

Crowdfunding; Image feature extraction; Hue; Brightness; Coarseness

Abstract

With the popularity of crowd-funding, crowd-funding provides a more convenient way for people to realize their dreams and start their businesses. At the same time, there are a large number of projects on the crowd-funding platform but they are also mixed. This paper selects popular crowd-funding projects to study the relationship between the funding percentage of crowd-funding projects and the color features and texture features of pictures. And images of popular crowdfunding projects. This paper first uses Python and MATLAB codes to extract image features, and then uses R for relevant analysis. In the end, we found the general range of hue, saturation, brightness and image roughness, contrast, orientation, and line image of the popular item image colors.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Xinfang Zhang
PY  - 2022
DA  - 2022/03/26
TI  - The Role of Images in the Performance of Crowdfunding Projects
BT  - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
PB  - Atlantis Press
SP  - 2279
EP  - 2283
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220307.374
DO  - 10.2991/aebmr.k.220307.374
ID  - Zhang2022
ER  -