Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …

This article reviews recent computer vision techniques used in the assessment of image
aesthetic quality. Image aesthetic assessment aims at computationally distinguishing high …

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 …

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 …

We study the problem of photo crop**, which aims to find a crop** 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 …

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 …

Social science literature has shown a strong connection between the visual appearance of a
city's neighborhoods and the behavior and health of its citizens. Yet, this research is limited …