Social image aesthetic classification and optimization algorithm in machine learning

Research Progress on the Aesthetic Quality Assessment of Complex Layout Images Based on Deep Learning

“…In the study of image aesthetic-quality assessment, researchers were the first to investigate both image aesthetic features such as composition basis, rule of thirds, and depth of field [52,53] and perceptual features such as color, edge, texture, and semantics [54,55] to achieve aesthetic-quality assessment [2,56]. Wong [53] used visual perception to establish a visual salient region model and proposed a method based on the visual aesthetic-qualityassessment method of images based on salient region enhancement.…”

“…With the rapid development of technologies such as communication technology, mobile internet, and cloud computing, the dissemination and application of images are growing at an explosive rate on the internet. Image aesthetic quality assessment is gaining more and more attention in fields such as image processing and computer vision [1,2]. The technology for image aesthetic quality assessment is a computer that automatically assesses the aesthetics of an image by calculating the quality of the image and simulating human perceptions and sense of beauty [3].…”