产品包装调色板创意设计

Ying Li, Anshul Sheopuri
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引用次数: 1

摘要

本文描述了我们最新的工作,协助CPG(消费品包装)公司与他们的产品包装设计,提供色彩调色板是视觉上吸引人的,新颖的,并符合特定品牌和产品所需的营销信息。具体来说,我们首先挖掘不同产品和品牌的大量图像,以了解其中经常出现的所有颜色和颜色组合。同时,构建颜色信息图来表示不同颜色所传递的信息,并捕捉它们之间的相互关系。在这种情况下,来自色彩心理学和信息来源(如Thesaurus)的知识被广泛利用。现在,给定要为其包装设计的特定产品和品牌,以及公司所需的营销信息,我们应用计算方法来生成可用于设计的千万亿种新颖调色板。这个过程将利用不同品牌的相同产品或同一品牌的不同产品使用的现有调色板,接受用户的可选颜色偏好,识别并利用正确的颜色来传达所需的营销信息。最后,我们根据视觉美学、新颖性和同一调色板的不同信息相互作用的方式对调色板进行排名,从而指导人类设计师选择正确的调色板。我们最初向相关领域的同事展示了这项工作,得到了非常积极的反馈。我们现在正在探索与他们合作的机会,在受控的实验环境中验证这项技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creative design of color palettes for product packaging
This paper describes our latest work on assisting CPG (Consumer Packaged Goods) companies with their product packaging designs by providing color palettes that are visually appealing, novel and consistent with desired marketing messages for a particular brand and product. Specifically, we start by mining a large collections of images of different products and brands to learn about all the colors and color combinations that frequently appear among them. Meanwhile, a color-message graph is constructed to represent messages conveyed by different colors as well as to capture the interrelationship among them. Knowledge from both color psychology and information sources like Thesaurus are extensively exploited in this case. Now, given a particular product and brand to be designed for its packaging, along with the company's desired marketing message, we apply a computational method to generate quintillions of novel color palettes that can be used for the design. This process will leverage existing palettes used by same products of different brands or different products of the same brand, take in optional color preferences from users, identify then utilize the right colors to convey the desired marketing message. Finally, we rank the palettes based on assessment of their visual aesthetics, novelty and the way that different messages of the same palette interact with each other, so as to guide human designers to choose the right ones. Our initial demonstrations of this work to colleagues of subject matter have received very positive feedback. We are now exploring opportunities to collaborate with them to validate this technology in a controlled experimental setting.
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