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Aspect ratio and spatial layout are two of the principal factors determining the aesthetic value of a photograph. But, incorporating these into the traditional convolution-based frameworks for the task of image aesthetics assessment is…

Computer Vision and Pattern Recognition · Computer Science 2022-06-29 Koustav Ghosal , Aljosa Smolic

Covariate adjustment is a commonly used method for total causal effect estimation. In recent years, graphical criteria have been developed to identify all valid adjustment sets, that is, all covariate sets that can be used for this purpose.…

Statistics Theory · Mathematics 2022-05-11 Leonard Henckel , Emilija Perković , Marloes H. Maathuis

Designing a visualization is often a process of iterative refinement where the designer improves a chart over time by adding features, improving encodings, and fixing mistakes. However, effective design requires external critique and…

Human-Computer Interaction · Computer Science 2023-03-14 Sungbok Shin , Sanghyun Hong , Niklas Elmqvist

A number of visual quality measures have been introduced in visual analytics literature in order to automatically select the best views of high dimensional data from a large number of candidate data projections. These methods generally…

Human-Computer Interaction · Computer Science 2015-03-20 Ilknur Icke , Andrew Rosenberg

Researchers try to model the aesthetic quality of photographs into low and high- level features, drawing inspiration from art theory, psychology and marketing. We attempt to describe every feature extraction measure employed in the above…

Computer Vision and Pattern Recognition · Computer Science 2016-12-20 Dimitris Spathis

Quality assessment is a key element for the evaluation of hardware and software involved in image and video acquisition, processing, and visualization. In the medical field, user-based quality assessment is still considered more reliable…

Existing graph layout algorithms are usually not able to optimize all the aesthetic properties desired in a graph layout. To evaluate how well the desired visual features are reflected in a graph layout, many readability metrics have been…

Computer Vision and Pattern Recognition · Computer Science 2018-11-16 Hammad Haleem , Yong Wang , Abishek Puri , Sahil Wadhwa , Huamin Qu

In image generation, generative models can be evaluated naturally by visually inspecting model outputs. However, this is not always the case for graph generative models (GGMs), making their evaluation challenging. Currently, the standard…

Machine Learning · Computer Science 2022-04-29 Rylee Thompson , Boris Knyazev , Elahe Ghalebi , Jungtaek Kim , Graham W. Taylor

Ensuring the correct visual appearance of graphical user interfaces (GUIs) is important because visual bugs can cause substantial losses for businesses. An application might behave functionally correct in an automated test, but visual bugs…

Software Engineering · Computer Science 2020-07-22 Daniel Kraus , Jeremias Rößler , Martin Sulzmann

Automatic image aesthetics assessment is important for a wide variety of applications such as on-line photo suggestion, photo album management and image retrieval. Previous methods have focused on mapping the holistic image content to a…

Computer Vision and Pattern Recognition · Computer Science 2019-07-26 Dong Liu , Rohit Puri , Nagendra Kamath , Subhabrata Bhattachary

Perceptual quality assessment for synthesized textures is a challenging task. In this paper, we propose a training-free reduced-reference (RR) objective quality assessment method that quantifies the perceived quality of synthesized…

Computer Vision and Pattern Recognition · Computer Science 2018-04-30 S. Alireza Golestaneh , Lina Karam

Assessing human creativity through visual outputs, such as drawings, plays a critical role in fields including psychology, education, and cognitive science. However, current assessment practices still rely heavily on expert-based subjective…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Zihao Lin , Zhenshan Shi , Sasa Zhao , Hanwei Zhu , Lingyu Zhu , Baoliang Chen , Lei Mo

In the fields of Experimental and Computational Aesthetics, numerous image datasets have been created over the last two decades. In the present work, we provide a comparative overview of twelve image datasets that include aesthetic ratings…

Computer Vision and Pattern Recognition · Computer Science 2023-07-04 Ralf Bartho , Katja Thoemmes , Christoph Redies

Aesthetic image analysis is the study and assessment of the aesthetic properties of images. Current computational approaches to aesthetic image analysis either provide accurate or interpretable results. To obtain both accuracy and…

Computer Vision and Pattern Recognition · Computer Science 2014-12-17 Luca Marchesotti , Naila Murray , Florent Perronnin

We explore computational approaches for visual guidance to aid in creating aesthetically pleasing art and graphic design. Our work complements and builds on previous work that developed models for how humans look at images. Our approach…

Computer Vision and Pattern Recognition · Computer Science 2021-07-14 Qingyuan Zheng , Zhuoru Li , Adam Bargteil

While visual comparison of directed acyclic graphs (DAGs) is commonly encountered in various disciplines (e.g., finance, biology), knowledge about humans' perception of graph similarity is currently quite limited. By graph similarity…

Human-Computer Interaction · Computer Science 2017-09-07 Kathrin Ballweg , Margit Pohl , Günter Wallner , Tatiana von Landesberger

Rating how aesthetically pleasing an image appears is a highly complex matter and depends on a large number of different visual factors. Previous work has tackled the aesthetic rating problem by ranking on a 1-dimensional rating scale,…

Computer Vision and Pattern Recognition · Computer Science 2017-12-05 Katharina Schwarz , Patrick Wieschollek , Hendrik P. A. Lensch

In this paper we examine the concept of complexity as it applies to generative art and design. Complexity has many different, discipline specific definitions, such as complexity in physical systems (entropy), algorithmic measures of…

Neural and Evolutionary Computing · Computer Science 2021-02-05 Jon McCormack , Camilo Cruz Gambardella , Andy Lomas

Perceptual video quality assessment plays a vital role in the field of video processing due to the existence of quality degradations introduced in various stages of video signal acquisition, compression, transmission and display. With the…

Multimedia · Computer Science 2024-02-07 Xiongkuo Min , Huiyu Duan , Wei Sun , Yucheng Zhu , Guangtao Zhai

Many evaluation methods have been used to assess the usefulness of Visual Analytics (VA) solutions. These methods stem from a variety of origins with different assumptions and goals, which cause confusion about their proofing capabilities.…

Human-Computer Interaction · Computer Science 2019-10-09 Mosab Khayat , Morteza Karimzadeh , David S. Ebert , Arif Ghafoor