Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
0.5
Journals
Arts
Special Issues
Computational Aesthetics
share announcement

Computational Aesthetics

A special issue of Arts (ISSN 2076-0752).

Deadline for manuscript submissions: closed (1 August 2018)

Special Issue Editor

Dr. Seyed Ali Amirshahi

E-Mail Website
Guest Editor
Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway
Interests: image quality assessment; video quality assessment; computational aesthetics; perception
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

For centuries, artists, psychologists, and philosophers have dealt with different aspects of aesthetic quality with regards to paintings, images, and other types of artwork. Over the last few years, researchers from the field of image processing and computer vision have joined this line of work by using computational techniques to distinguish between aesthetic and non-aesthetic artwork and establish quantitative measures for such subjective discrepancies. It is clear that both groups could drastically benefit from possible collaborations between each other. For example, while researchers which take a computational approach could have a better understanding of how images are captured or paintings are created, the other group can benefit from using automation in evaluating different datasets or assessing different art techniques.

This Special Issue aims to bridge research in both fields and encourage interdisciplinary research to be presented to a wide range of different audience. The publications will try to use different techniques, which could be new to the other group of researchers to answer open questions in this field of study.

We invite researchers, artists and practitioner from different fields of work to submit their novel and unpublished research in the field of computational aesthetics with a deadline of 1 August 2018. While the papers in general would be based on using a computational approach to address specific issues with regards to aesthetic quality in artworks, we also encourage researchers which try to answer fundamental questions in this field, which could help studies in this field in the future.

Dr. Seyed Ali Amirshahi
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Arts is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • describing and measuring aesthetics and beauty
  • computational tools for creating and assessing artworks
  • empirically based metrics of aesthetic attributes
  • painting style analysis and transfer
  • computer vision and cultural heritage
  • image representation in art
  • 3D reconstruction and image metrology from paintings
  • style transfer
  • visual composition
  • sketch-based information retrieval
  • study designs and methodologies for evaluating and validating sketch-based systems, aesthetic metrics, visual communication systems, etc.
  • novel interfaces for art creation, modeling, control, sketch input, etc.
  • analysis and modeling of creative behavior (AI, A-life)
  • simulation of natural media, traditional styles, and novel artistic styles
  • computational analysis and modeling of creative behavior (AI, A-life)
  • artistic image transformation techniques (colors, edges, patterns, dithering)
  • image style and salience analysis (paintings, photographs, others)
  • visualization (perceptual, affective or aesthetics based)
  • object and people detection in art
  • authentication and forensics

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 412 KiB  
Article
Aesthetics and Clarity in Information Visualization: The Designer’s Perspective
by Annemarie Quispel, Alfons Maes and Joost Schilperoord
Arts 2018, 7(4), 72; https://0-doi-org.brum.beds.ac.uk/10.3390/arts7040072 - 02 Nov 2018
Cited by 6 | Viewed by 5451
Abstract
Designers are increasingly involved in creating ‘popular’ data visualizations in mass media. Scientists in the field of information visualization propose collaborations between designers and scientists in popular data visualization. They assume that designers put more emphasis on aesthetics than on clarity in their [...] Read more.
Designers are increasingly involved in creating ‘popular’ data visualizations in mass media. Scientists in the field of information visualization propose collaborations between designers and scientists in popular data visualization. They assume that designers put more emphasis on aesthetics than on clarity in their representation of data, and that they aim to convey subjective, rather than objective, information. We investigated designers’ criteria for good design for a broad audience by interviewing professional designers and by reviewing information design handbooks. Additionally, we investigated what might make a visualization aesthetically pleasing (attractive) in the view of the designers. Results show that, according to the information designers, clarity and aesthetics are the main criteria, with clarity being the most important. They aim to objectively inform the public, rather than conveying personal opinions. Furthermore, although aesthetics is considered important, design literature hardly addresses the characteristics of aesthetics, and designers find it hard to define what makes a visualization attractive. The few statements found point at interesting directions for future research. Full article
(This article belongs to the Special Issue Computational Aesthetics)
►▼ Show Figures

Figure 1

21 pages, 4713 KiB  
Article
Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods
by Sabine Lang and Björn Ommer
Arts 2018, 7(4), 64; https://0-doi-org.brum.beds.ac.uk/10.3390/arts7040064 - 09 Oct 2018
Cited by 2 | Viewed by 3641
Abstract
Displays of art in public or private spaces have long been of interest to curators, gallerists, artists and art historians. The emergence of gallery paintings at the beginning of the seventeenth century and the photographic documentation of (modern) exhibitions testify to that. Taken [...] Read more.
Displays of art in public or private spaces have long been of interest to curators, gallerists, artists and art historians. The emergence of gallery paintings at the beginning of the seventeenth century and the photographic documentation of (modern) exhibitions testify to that. Taken as factual documents, these images are not only representative of social status, wealth or the museum’s thematic focus, but also contain information about artistic relations and exhibition practices. Digitization efforts of previous years have made these documents, including photographs, catalogs or press releases, available to public audiences and scholars. While a manual analysis has proved to be insufficient, because of the sheer number of available data, computational approaches and tools allowed for a greater access. The following article describes how digital images of exhibitions, as released by the New York Museum of Modern Art in the fall of 2016, are studied with a retrieval system to analyze in which artistic contexts selected artworks were presented in exhibits. Full article
(This article belongs to the Special Issue Computational Aesthetics)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop