A Computer Vision Methodology to Predict Brand Personality from Image Features

IF 5.4 2区管理学 Q1 BUSINESS

Journal of Advertising Pub Date : 2023-09-21 DOI:10.1080/00913367.2023.2250842

Taylor Jing Wen, Yilang Peng, Jing Yang

引用次数: 0

Abstract

Using the computer vision method, this study proposes an analytical model of visual aesthetics for brand communication and analyzes the effects of visual features (i.e., colors and visual complexit...

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从图像特征预测品牌个性的计算机视觉方法

本研究运用计算机视觉方法，提出了品牌传播的视觉美学分析模型，并分析了视觉特征(即色彩和视觉综合体)对品牌传播的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Advertising Multiple-

CiteScore

11.20

自引率

10.50%

发文量

期刊介绍： The Journal of Advertising is the premier journal devoted to the development of advertising theory and its relationship to practice. The major purpose of the Journal is to provide a public forum where ideas about advertising can be expressed. Research dealing with the economic, political, social, and environmental aspects of advertising, and methodological advances in advertising research represent some of the key foci of the Journal. Other topics of interest recently covered by the Journal include the assessment of advertising effectiveness, advertising ethics, and global issues surrounding advertising.