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

Author:

Zou XingxingORCID,Wong Wai Keung,Gao Can,Zhou Jie

Abstract

PurposeThe 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/approachThe 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.FindingsWith practical applications in mind, the FoCo system is designed as a hierarchical structure with three layers.Originality/valueThe 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.

Publisher

Emerald

Subject

Polymers and Plastics,General Business, Management and Accounting,Materials Science (miscellaneous),Business, Management and Accounting (miscellaneous)

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