Social image aesthetic classification and optimization algorithm in machine learning

Luo, Pan

doi:10.1007/s00521-022-07128-1

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…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.…”

Section: Traditional Methods Of Assessing the Aesthetic Quality Of Im...mentioning

confidence: 99%

“…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].…”

Section: Introductionmentioning

confidence: 99%

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

Pu,

Liu,

Chen

et al. 2023

Applied Sciences

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With the development of the information age, the layout image is no longer a simple combination of text and graphics, but covers the complex layout image obtained from text, graphics, images and other layout elements through the process of artistic design, pre-press processing, typesetting, and so on. At present, the field of aesthetic-quality assessment mainly focuses on photographic images, and the aesthetic-quality assessment of complex layout images is rarely reported. However, the design of complex layout images such as posters, packaging labels, advertisements, etc., cannot be separated from the evaluation of aesthetic quality. In this paper, layout analysis is performed on complex layout images. Traditional and deep-learning-based methods for image layout analysis and aesthetic-quality assessment are reviewed and analyzed. Finally, the features, advantages and applications of common image aesthetic-quality assessment datasets and layout analysis datasets are compared and analyzed. Limitations and future perspectives of aesthetic assessment of complex layout images are discussed in relation to layout analysis and aesthetic characteristics.

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Section: Traditional Methods Of Assessing the Aesthetic Quality Of Im...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Pu,

Liu,

Chen

et al. 2023

Applied Sciences

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Classification of aesthetic natural scene images using statistical and semantic features

Biswas

Shivakumara

Pal

et al. 2022

Multimed Tools Appl

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Social image aesthetic classification and optimization algorithm in machine learning

Cited by 2 publications

References 33 publications

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

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

Classification of aesthetic natural scene images using statistical and semantic features

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