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

We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

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 …

This paper proposes a novel approach and a new benchmark for video summarization.
Thereby we focus on user videos, which are raw videos containing a set of interesting …

Intelligent transportation systems pervasively deploy thousands of video cameras. Analyzing
live video streams from these cameras is of significant importance to public safety. As …

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 content of images users post to their social media is driven in part by personality. In this
study, we analyze how Twitter profile images vary with the personality of the users posting …

Photo aesthetics assessment is challenging. Deep convolutional neural network (ConvNet)
methods have recently shown promising results for aesthetics assessment. The performance …