An Application for Aesthetic Quality Assessment in Photography with Interpretability Features

Automatic aesthetic quality assessment is a computer vision problem in which we quantify the attractiveness or the appealingness of a photograph. This is especially useful in social networks, where the amount of images generated each day requires automation for processing. This work presents <b&g...

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Autores principales:	Fernando Rubio Perona, María Julia Flores Gallego, José Miguel Puerta Callejón
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	aesthetic application software deep learning fine-tuning image quality transfer learning Science Q Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/4e4631af2a204a4e86e220c86e1ec41e
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id	oai:doaj.org-article:4e4631af2a204a4e86e220c86e1ec41e
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spelling	oai:doaj.org-article:4e4631af2a204a4e86e220c86e1ec41e2021-11-25T17:29:13ZAn Application for Aesthetic Quality Assessment in Photography with Interpretability Features10.3390/e231113891099-4300https://doaj.org/article/4e4631af2a204a4e86e220c86e1ec41e2021-10-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1389https://doaj.org/toc/1099-4300Automatic aesthetic quality assessment is a computer vision problem in which we quantify the attractiveness or the appealingness of a photograph. This is especially useful in social networks, where the amount of images generated each day requires automation for processing. This work presents <b>Aesthetic Selector</b>, an application able to identify images of high aesthetic quality, showing also relevant information about the decisions and providing the use of the most appropriate filters to enhance a given image. We then analyzed the main proposals in the aesthetic quality field, describing their strengths and weaknesses in order to determine the filters to be included in the application <b>Aesthetic Selector</b>. This proposed application was tested, giving good results, in three different scenarios: image selection, image finding, and filter selection. Besides, we carried out a study of distinct visualization tools to better understand the models’ behavior. These techniques also allow detecting which areas are more relevant within the images when models perform classification. The application also includes this interpretability module. <b>Aesthetic Selector</b> is an innovative and original program, because in the field of aesthetic quality in photography, there are no applications that identify high-quality images and also because it offers the capability of showing information about which parts of the image have affected this decision.Fernando Rubio PeronaMaría Julia Flores GallegoJosé Miguel Puerta CallejónMDPI AGarticleaestheticapplication softwaredeep learningfine-tuningimage qualitytransfer learningScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1389, p 1389 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	aesthetic application software deep learning fine-tuning image quality transfer learning Science Q Astrophysics QB460-466 Physics QC1-999
spellingShingle	aesthetic application software deep learning fine-tuning image quality transfer learning Science Q Astrophysics QB460-466 Physics QC1-999 Fernando Rubio Perona María Julia Flores Gallego José Miguel Puerta Callejón An Application for Aesthetic Quality Assessment in Photography with Interpretability Features
description	Automatic aesthetic quality assessment is a computer vision problem in which we quantify the attractiveness or the appealingness of a photograph. This is especially useful in social networks, where the amount of images generated each day requires automation for processing. This work presents <b>Aesthetic Selector</b>, an application able to identify images of high aesthetic quality, showing also relevant information about the decisions and providing the use of the most appropriate filters to enhance a given image. We then analyzed the main proposals in the aesthetic quality field, describing their strengths and weaknesses in order to determine the filters to be included in the application <b>Aesthetic Selector</b>. This proposed application was tested, giving good results, in three different scenarios: image selection, image finding, and filter selection. Besides, we carried out a study of distinct visualization tools to better understand the models’ behavior. These techniques also allow detecting which areas are more relevant within the images when models perform classification. The application also includes this interpretability module. <b>Aesthetic Selector</b> is an innovative and original program, because in the field of aesthetic quality in photography, there are no applications that identify high-quality images and also because it offers the capability of showing information about which parts of the image have affected this decision.
format	article
author	Fernando Rubio Perona María Julia Flores Gallego José Miguel Puerta Callejón
author_facet	Fernando Rubio Perona María Julia Flores Gallego José Miguel Puerta Callejón
author_sort	Fernando Rubio Perona
title	An Application for Aesthetic Quality Assessment in Photography with Interpretability Features
title_short	An Application for Aesthetic Quality Assessment in Photography with Interpretability Features
title_full	An Application for Aesthetic Quality Assessment in Photography with Interpretability Features
title_fullStr	An Application for Aesthetic Quality Assessment in Photography with Interpretability Features
title_full_unstemmed	An Application for Aesthetic Quality Assessment in Photography with Interpretability Features
title_sort	application for aesthetic quality assessment in photography with interpretability features
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4e4631af2a204a4e86e220c86e1ec41e
work_keys_str_mv	AT fernandorubioperona anapplicationforaestheticqualityassessmentinphotographywithinterpretabilityfeatures AT mariajuliafloresgallego anapplicationforaestheticqualityassessmentinphotographywithinterpretabilityfeatures AT josemiguelpuertacallejon anapplicationforaestheticqualityassessmentinphotographywithinterpretabilityfeatures AT fernandorubioperona applicationforaestheticqualityassessmentinphotographywithinterpretabilityfeatures AT mariajuliafloresgallego applicationforaestheticqualityassessmentinphotographywithinterpretabilityfeatures AT josemiguelpuertacallejon applicationforaestheticqualityassessmentinphotographywithinterpretabilityfeatures
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An Application for Aesthetic Quality Assessment in Photography with Interpretability Features

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