Predicting aesthetic score distribution through cumulative jensen-shannon divergence
Aesthetic quality prediction is a challenging task in the computer vision community because
of the complex interplay with semantic contents and photographic technologies. Recent …
of the complex interplay with semantic contents and photographic technologies. Recent …
ILGNet: Inception modules with connected local and global features for efficient image aesthetic quality classification using domain adaptation
In this study, the authors address a challenging problem of aesthetic image classification,
which is to label an input image as high‐or low‐aesthetic quality. We take both the local and …
which is to label an input image as high‐or low‐aesthetic quality. We take both the local and …
Deep image aesthetics classification using inception modules and fine-tuning connected layer
X **, J Chi, S Peng, Y Tian, C Ye… - 2016 8th international …, 2016 - ieeexplore.ieee.org
In this paper we investigate the image aesthetics classification problem, aka, automatically
classifying an image into low or high aesthetic quality, which is quite a challenging problem …
classifying an image into low or high aesthetic quality, which is quite a challenging problem …
The beauty of capturing faces: Rating the quality of digital portraits
Digital portrait photographs are everywhere, and while the number of face pictures keeps
growing, not much work has been done to on automatic portrait beauty assessment. In this …
growing, not much work has been done to on automatic portrait beauty assessment. In this …
Objectivity and subjectivity in aesthetic quality assessment of digital photographs
Automatic prediction of the aesthetic quality of a photograph has been an important research
problem in image processing and computer vision. While assessing the aesthetic quality of a …
problem in image processing and computer vision. While assessing the aesthetic quality of a …
Snap decisions? How users, content, and aesthetics interact to shape photo sharing behaviors
Participants in social media systems must balance many considerations when choosing
what to share and with whom. Sharing with others invites certain risks, as well as potential …
what to share and with whom. Sharing with others invites certain risks, as well as potential …
Salient-centeredness and saliency size in computational aesthetics
WK Hoh, FL Zhang, NA Dodgson - ACM Transactions on Applied …, 2023 - dl.acm.org
We investigate the optimal aesthetic location and size of a single dominant salient region in
a photographic image. Existing algorithms for photographic composition do not take full …
a photographic image. Existing algorithms for photographic composition do not take full …
Animated construction of Chinese brush paintings
In this paper, we present a method for reconstructing the drawing process of Chinese brush
paintings. We demonstrate the possibility of computing an artistically reasonable drawing …
paintings. We demonstrate the possibility of computing an artistically reasonable drawing …
Low level features for quality assessment of facial images
An automated system that provides feedback about aesthetic quality of facial pictures could
be of great interest for editing or selecting photos. Although image aesthetic quality …
be of great interest for editing or selecting photos. Although image aesthetic quality …
A probabilistic approach to people-centric photo selection and sequencing
V Vonikakis, R Subramanian, J Arnfred… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
We present a crowdsourcing (CS) study to examine how specific attributes probabilistically
affect the selection and sequencing of images from personal photo collections. Thirteen …
affect the selection and sequencing of images from personal photo collections. Thirteen …