Aesthetic Assessment of Packaging Design Based on Con-Transformer

Aesthetic Assessment of Packaging Design Based on Con-Transformer

Wei Li
Copyright: © 2023 |Pages: 11
DOI: 10.4018/IJeC.316873
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Abstract

Different from the traditional natural images' aesthetic assessment task, the aesthetic assessment of packaging design should not only pay attention to artistic beauty, but also pay attention to functional beauty, that is, the attraction of the packaging design to consumers. In this paper, the authors propose a con-transformer packaging design aesthetic assessment method, which takes advantage of convolutional operations and self-attention mechanisms for enhanced representation learning, resulting in an effective aesthetic assessment of the packaging design images. Specifically, con-transformer integrates convolution network branch and transformer network branch to extract local representation features and global representation features of the packaging design images respectively. Finally, the fused representation features are used for aesthetic assessment. Experimental results show that the proposed method can not only effectively assess the aesthetic of packaging design images, but also be applied to the aesthetic assessment of natural images.
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1. Introduction

Aesthetics is people's innate ability. Studying the artificial intelligence technology to make computers perceive and discover “beauty” will help computers understand and learn the thinking process of professional photographers or professional designers, and provide professional aesthetic suggestions for people to take photos or make designs, which is a very challenging task. At present, with the rapid development and wide popularization of camera, video camera, smartphone and other photographing devices, more and more people like to capture and record the bits of life and upload them to the Internet. Especially since the beginning of 2020, due to the impact of COVID-19, face-to-face communication between people becomes decreased, which further increasing the sharing and dissemination of images, videos and other visual content on the Internet. For example, according to statistics, the total number of images and videos published on Instagram every day exceeds 100000000 (Lan 2021). Users on Flickr have shared more than 50 million photos (Smith 2021). In the face of such complex data, how to quickly and automatically screen out high-quality aesthetic images and rank the results with high visual attraction in the top of the search results has important practical significance. In addition, for album management software, automatically and quickly filtering out good-looking photos and deleting photos with low aesthetic quality can save a lot of time for manual screening of photos. In the photo editing software, it is very difficult for ordinary users to learn photography knowledge in limited time and energy (Zhu 2016). They do not know how to improve the aesthetic attributes of the image and which aspect makes the image more attractive. In this case, the software that can give professional and clear image cutting suggestions becomes more and more important. Therefore, the research on the intelligent assessment technology of image aesthetic quality with artificial intelligence as the core not only has great economic benefits, but also can promote the development of artificial intelligence technology to simulate people's aesthetic and thinking process.

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