Image Aesthetic Assessment Using Computer Vision

Special Issue Introduction

Dear Colleagues,

The aesthetics, understood as the study of beauty and taste, has gathered the attention of researchers for a long time. Today, marketing visual content profoundly influences product success. Therefore, the perceived image aesthetics and the style and memorability of images are all attracting increasing attention from the computer vision community. Research seeks to unveil the judgment mechanism of the aesthetic quality of an image, the decomposition of global aesthetics into independent attributes and, going further, control of the qualities of an image such that one improves its memorability, aesthetic judgment or adherence to an artistic style.

Based on these findings, a broad variety of applications have been developed, such as personal photo album management, automatic photo editing, image retrieval, artificial-intelligence-based assistance in publicity video clips and poster generation. Even more psychological-oriented tasks such as understanding human judgment of aesthetics and memorability have benefited from those findings. While judging image aesthetics and memorability is mainly a subjective task, the recent development of an automated computed vision direction enables some identification and quantification of those image characteristics that favor a higher score as judged by a majority of individuals.

This Special Issue on “Image Aesthetic Assessment using Computer Vision” welcomes submissions of previously unpublished experimental, theoretical, and review papers on the broad topics of image aesthetics and image memorability (and related and revived concepts such as aesthetic attributes, criteria for memorability, aesthetic/memorability prediction and control) in aesthetic evaluation and appreciation using computer vision techniques.

Prof. Dr. Corneliu Florea

Prof. Dr. ConstantinVertan

Guest Editors

Topics of Interest

1.       Image aesthetics assessment

2.       Visual aesthetics perception

3.       Image aesthetics control

4.       Image memorability

5.       Image style

6.       Aesthetics photography

7.       Databases and benchmarks for aesthetics and memorability