Y Deng, CC Loy, X Tang - IEEE Signal Processing Magazine, 2017 - ieeexplore.ieee.org
This article reviews recent computer vision techniques used in the assessment of image aesthetic quality. Image aesthetic assessment aims at computationally distinguishing high …
Measuring the human sense of place and quantifying the connections among the visual features of the built environment that impact the human sense of place have long been of …
Assessing the aesthetics of an image is challenging, as it is influenced by multiple factors including composition, color, style, and high-level semantics. Existing image aesthetic …
W Wang, J Shen, H Ling - IEEE transactions on pattern …, 2018 - ieeexplore.ieee.org
We study the problem of photo cropping, which aims to find a cropping window of an input image to preserve as much as possible its important parts while being aesthetically …
Real-world applications could benefit from the ability to automatically generate a fine- grained ranking of photo aesthetics. However, previous methods for image aesthetics …
Public open space (POS) is essential to urban areas. Assessing them usually requires tedious approaches such as fieldwork and manual processes. Street View Imagery (SVI) …
With the ever-expanding volume of visual content available, the ability to organize and navigate such content by aesthetic preference is becoming increasingly important. While still …
Effective visual features are essential for computational aesthetic quality rating systems. Existing methods used machine learning and statistical modeling techniques on handcrafted …
The style of an image plays a significant role in how it is viewed, but style has received little attention in computer vision research. We describe an approach to predicting style of …