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 …
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 …
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 …
S Wan, X Xu, T Wang, Z Gu - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
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 …
L Mai, H Jin, F Liu - Proceedings of the IEEE conference on …, 2016 - openaccess.thecvf.com
Photo aesthetics assessment is challenging. Deep convolutional neural network (ConvNet) methods have recently shown promising results for aesthetics assessment. The performance …