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Visual assessment of fashion merchandising based on scene saliency

Huazhou He (School of Fashion Design and Engineering, Zhejiang Sci-Tech University, Hangzhou, China)
Pinghua Xu (School of Fashion Design and Engineering, Zhejiang Sci-Tech University, Hangzhou, China) (Digital Intelligence Style and Creative Design Research Center, Key Research Center of Philosophy and Social Sciences, Zhejiang Sci-Tech University, Hangzhou, China) (Key Laboratory of Silk Culture Heritage and Products Design Digital Technology, Ministry of Culture and Tourism, Hangzhou, China)
Jing Jia (School of Fashion Design and Engineering, Zhejiang Sci-Tech University, Hangzhou, China)
Xiaowan Sun (School of Fashion Design and Engineering, Zhejiang Sci-Tech University, Hangzhou, China)
Jingwen Cao (School of Fashion Design and Engineering, Zhejiang Sci-Tech University, Hangzhou, China)

International Journal of Clothing Science and Technology

ISSN: 0955-6222

Article publication date: 18 January 2024

Issue publication date: 13 February 2024

54

Abstract

Purpose

Fashion merchandising hold a paramount position within the realm of retail marketing. Currently, the purpose of this article is that the assessment of display effectiveness predominantly relies on the subjective judgment of merchandisers due to the absence of an effective evaluation method. Although eye-tracking devices have found extensive used in tracking the gaze trajectory of subject, they exhibit limitations in terms of stability when applied to the evaluation of various scenes. This underscores the need for a dependable, user-friendly and objective assessment method.

Design/methodology/approach

To develop a cost-effective and convenient evaluation method, the authors introduced an image processing framework for the assessment of variations in the impact of store furnishings. An optimized visual saliency methodology that leverages a multiscale pyramid model, incorporating color, brightness and orientation features, to construct a visual saliency heatmap. Additionally, the authors have established two pivotal evaluation indices aimed at quantifying attention coverage and dispersion. Specifically, bottom features are extract from 9 distinct scale images which are down sampled from merchandising photographs. Subsequently, these extracted features are amalgamated to form a heatmap, serving as the focal point of the evaluation process. The authors have proposed evaluation indices dedicated to measuring visual focus and dispersion, facilitating a precise quantification of attention distribution within the observed scenes.

Findings

In comparison to conventional saliency algorithm, the optimization method yields more intuitive feedback regarding scene contrast. Moreover, the optimized approach results in a more concentrated focus within the central region of the visual field, a pattern in alignment with physiological research findings. The results affirm that the two defined indicators prove highly effective in discerning variations in visual attention across diverse brand store displays.

Originality/value

The study introduces an intelligent and cost-effective objective evaluate method founded upon visual saliency. This pioneering approach not only effectively discerns the efficacy of merchandising efforts but also holds the potential for extension to the assessment of fashion advertisements, home design and website aesthetics.

Keywords

Citation

He, H., Xu, P., Jia, J., Sun, X. and Cao, J. (2024), "Visual assessment of fashion merchandising based on scene saliency", International Journal of Clothing Science and Technology, Vol. 36 No. 1, pp. 153-167. https://doi.org/10.1108/IJCST-03-2022-0037

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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