Automatic video analysis tools are an indispensable component in imaging applications.
Object detection, the first and the most important step for automatic video analysis, is …

Automatic video data analysis tools have become indispensable components in today's
imaging applications. The accuracy of automatic analysis methods relies on the quality of …

Automatic analysis tools are ubiquitously applied on wireless embedded cameras to extract
high-level information from raw data. The quality of images may be degraded by factors such …

Computer vision algorithms are essential components of many systems in operation today.
Predicting the robustness of such algorithms for different visual distortions is a task which …

The field of image and video quality assessment has enjoyed rapid development over the
last two decades. Several datasets and algorithms have been designed to understand the …

Video quality assessment has a great importance in several image processing applications.
Recently, various objective video quality metrics have been proposed in order to predict the …

In distributed sensing systems that use compressed videos for video analysis tasks, the
lossy compression of videos can damage the accuracy of object detection, which is an …

Computer vision algorithms have been widely used for many applications, including traffic
monitoring, autonomous driving, robot path planning and navigation, object detection and …

Millions of cameras at the edge are being deployed to power a variety of different deep
learning applications. However, the frames captured by these cameras are not always …

Wireless camera networks are ubiquitously deployed in various distributed sensing
applications. The basic functions of each sensor node include video capture, video …