Feast for the Eyes: Effects of Food Perceptions and Computer Vision Features on Food Photo Popularity
Feast for the Eyes: Effects of Food Perceptions and Computer Vision Features on Food Photo Popularity
复制标题
视觉盛宴：食物感知和计算机视觉特征对食物照片流行度的影响
DOI：
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
J. Jemmott
中科院分区：
文献类型：
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作者：
Yilang Peng;J. Jemmott
网上广为流传的美食照片已经成为我们视觉文化的重要组成部分。结合人类对食物特征的评价和视觉美学的计算分析，我们研究了各种食物照片（N = 300）的审美吸引力的原因，以及他们从参与者（N = 399）的人工新闻源中收到的点赞和评论。结果显示，人们倾向于喜欢和分享含有美味食物的图片。健康和不健康的食物都能获得喜欢。审美吸引力和特定的视觉特征，如使用令人兴奋的颜色和视觉复杂性的不同组成部分，也影响了食物图像的流行。这项工作展示了在视觉分析中应用计算机视觉方法的潜力，提供了对图像病毒传播的见解，并为健康饮食的传播提供了实用指南。
The widely circulated food photos online have become an important part of our visual culture. Combining human ratings of food characteristics and computational analysis of visual aesthetics, we examined what contributed to the aesthetic appeal of a diversity of food photographs ( N = 300) and likes and comments they received in an artificial newsfeed from participants ( N = 399). The results revealed that people tended to like and share images containing tasty foods. Both healthy and unhealthy foods were able to gain likes. Aesthetic appeal and specific visual features, such as the use of arousing colors and different components of visual complexity, also influenced the popularity of food images. This work demonstrates the potential of applying computer vision methods in visual analysis, offers insights into image virality, and provides practical guidelines for communicating healthy eating.
DOI：
10.1111/jcom.12160
发表时间：
2015-06-01
期刊：
The Journal of communication
影响因子：
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作者：
Kim HS
通讯作者：
Kim HS
影响因子：
3.7
作者：
Simmons, WK;Martin, A;Barsalou, LW
通讯作者：
Barsalou, LW