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Proceedings Paper

Fashion popularity analysis based on online social network via deep learning
Author(s): Jiachen Zhong; Rita Tse; Gustavo Marfia; Giovanni Pau
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Paper Abstract

In this paper, we provide an idea about how to utilize the deep neural network with large scale social network data to judge the quality of fashion images. Specifically, our aim is to build a deep neural network based model which is able to predict the popularity of fashion-related images. Convolutional Neural Network (CNN) and Multi-layer Perceptron (MLP) are the two major tools to construct the model architecture, in which the CNN is responsible for analyzing images and the MLP is responsible for analyzing other types of social network meta data. Based on this general idea, various tentative model structures are proposed, implemented, and compared in this research. To perform experiments, we constructed a fashion-related dataset which contains over 1 million records from the online social network. Though no real word prediction task has been tried yet, according to the result of dataset-based tests, our models demonstrate good abilities on predicting the popularity of fashion from the online social network using the Xception CNN. However, we also find a very interesting phenomenon, which intuitively indicates there may be limited correlation between popularity and visual design of a fashion due to the power and influence of the online social network.

Paper Details

Date Published: 14 August 2019
PDF: 9 pages
Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 1117938 (14 August 2019); doi: 10.1117/12.2539771
Show Author Affiliations
Jiachen Zhong, Macao Polytechnic Institute (Macao, China)
Univ. of California, Los Angeles (United States)
Rita Tse, Macao Polytechnic Institute (Macao, China)
Gustavo Marfia, Univ. of Bologna (Italy)
Giovanni Pau, Macao Polytechnic Institute (Macao, China)
Univ. of Bologna (Italy)
Univ. of California, Los Angeles (United States)

Published in SPIE Proceedings Vol. 11179:
Eleventh International Conference on Digital Image Processing (ICDIP 2019)
Jenq-Neng Hwang; Xudong Jiang, Editor(s)

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