Will people like your illustration? Popularity assessment of illustrations

Abstract Illustrations frequently appear in advertisements, films, books, etc. Research into the popularity of illustrations shows practicality and necessity already, which plays an important role in the improvement of illustrations and advertising decisions. In this letter, an Illustration Populari...

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Bibliographic Details
Main Authors: Jiachen Yang, Yao Men, Yang Zhao
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Electronics Letters
Subjects:
Online Access:https://doi.org/10.1049/ell2.12054
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author Jiachen Yang
Yao Men
Yang Zhao
author_facet Jiachen Yang
Yao Men
Yang Zhao
author_sort Jiachen Yang
collection DOAJ
description Abstract Illustrations frequently appear in advertisements, films, books, etc. Research into the popularity of illustrations shows practicality and necessity already, which plays an important role in the improvement of illustrations and advertising decisions. In this letter, an Illustration Popularity Assessment Network (IPANet) is designed, inspired by the illustration creation process. Atrous convolutional layers are densely concatenated to extract image composition information and Gram matrix is used to measure the image style. We also introduce a scoring model based on ‘views’ and ‘likes’ to score the popularity of collected illustrations. The IPANet is proved to be effective according to experimental results on the scored illustrations. As far as we know, we are the first to explore the popularity of illustrations and practice successfully.
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spelling doaj.art-c6678c9dfed74eb5a9a4a7b9871befba2023-02-27T12:06:15ZengWileyElectronics Letters0013-51941350-911X2021-01-01572586110.1049/ell2.12054Will people like your illustration? Popularity assessment of illustrationsJiachen Yang0Yao Men1Yang Zhao2School of Electrical and Information Engineering Tianjin University Tianjin ChinaSchool of Electrical and Information Engineering Tianjin University Tianjin ChinaSchool of Electrical and Information Engineering Tianjin University Tianjin ChinaAbstract Illustrations frequently appear in advertisements, films, books, etc. Research into the popularity of illustrations shows practicality and necessity already, which plays an important role in the improvement of illustrations and advertising decisions. In this letter, an Illustration Popularity Assessment Network (IPANet) is designed, inspired by the illustration creation process. Atrous convolutional layers are densely concatenated to extract image composition information and Gram matrix is used to measure the image style. We also introduce a scoring model based on ‘views’ and ‘likes’ to score the popularity of collected illustrations. The IPANet is proved to be effective according to experimental results on the scored illustrations. As far as we know, we are the first to explore the popularity of illustrations and practice successfully.https://doi.org/10.1049/ell2.12054Other topics in statisticsGraphics techniquesComputer vision and image processing techniques
spellingShingle Jiachen Yang
Yao Men
Yang Zhao
Will people like your illustration? Popularity assessment of illustrations
Electronics Letters
Other topics in statistics
Graphics techniques
Computer vision and image processing techniques
title Will people like your illustration? Popularity assessment of illustrations
title_full Will people like your illustration? Popularity assessment of illustrations
title_fullStr Will people like your illustration? Popularity assessment of illustrations
title_full_unstemmed Will people like your illustration? Popularity assessment of illustrations
title_short Will people like your illustration? Popularity assessment of illustrations
title_sort will people like your illustration popularity assessment of illustrations
topic Other topics in statistics
Graphics techniques
Computer vision and image processing techniques
url https://doi.org/10.1049/ell2.12054
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