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FoCo system: a tool to bridge the domain gap between fashion and artificial intelligence

Xingxing Zou (Hong Kong Polytechnic University, Kowloon, Hong Kong)
Wai Keung Wong (Institute of Textiles and Clothing, Hong Kong Polytechnic University, Kowloon, Hong Kong) (College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China)
Can Gao (Institute of Textiles and Clothing, Hong Kong Polytechnic University, Kowloon, Hong Kong) (College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China)
Jie Zhou (Institute of Textiles and Clothing, Hong Kong Polytechnic University, Kowloon, Hong Kong) (College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China)

International Journal of Clothing Science and Technology

ISSN: 0955-6222

Article publication date: 28 June 2019

Issue publication date: 2 September 2019

Abstract

Purpose

The deficiency of the mapping between fashion color (FoCo) value and linguistic color expression causes the difficulty of machine-based fashion understanding tasks that are heavily associated with color matching. The purpose of this paper is to propose the FoCo system and construct it with four steps, in order to bridge this gap.

Design/methodology/approach

The color distribution in HSB color space is analyzed to estimate the rough number of color categories. Similar color values are grouped to obtain the initial HSB value range for each color category. The intra-category color differences are calculated to determine their final HSB value ranges and Pantone color is used for fine-tuning.

Findings

With practical applications in mind, the FoCo system is designed as a hierarchical structure with three layers.

Originality/value

The FoCo system is designed as a hierarchical structure with three layers: color units for color matching-related tasks, color categories for style analysis tasks and color tones for color recognition tasks. Extensive experiments demonstrate the effectiveness of the FoCo system.

Keywords

Citation

Zou, X., Wong, W.K., Gao, C. and Zhou, J. (2019), "FoCo system: a tool to bridge the domain gap between fashion and artificial intelligence", International Journal of Clothing Science and Technology, Vol. 31 No. 5, pp. 630-643. https://doi.org/10.1108/IJCST-10-2018-0130

Publisher

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Emerald Publishing Limited

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