In blood flow studies, image analysis plays an extremely important role to examine raw data
obtained by high-speed video microscopy systems. This work shows different ways to …

Sentiment analysis using stemmed Twitter data from various languages is an emerging
research topic. In this paper, we address three data augmentation techniques namely Shift …

Abnormal event detection is one of the most challenging tasks in computer vision. Many
existing deep anomaly detection models are based on reconstruction errors, where the …

Conurbations around the globe are encountering the challenges of traffic congestion.
Miscellaneous smart systems have been developed to help control and improve traffic flow …

Privacy of people is a key factor in surveillance systems. Video camera brings us well-off
color information. How would the privacy be secured then? Besides, privacy protection …

Cloud environments face many threats as traditional corporate networks, but due to the vast
amount of data stored on cloud servers, providers become an attractive target. Thus the …

Who does not want a home having comfortability, security, safety, and reliability? A system of
interconnected devices and sensors with internet of things standards can communicate …

Analysis of flows in crowd videos is a remarkable topic with practical implementations in
many different areas. In this paper, we present a wide overview of this topic along with our …

As an enormous computing power is required to get knowledge from a large volume of data,
the parallel and distributed computing is highly recommended to process them. Artificial …

In the task of video salient object detection, how to effectively fuse spatiotemporal cues is the
key to successfully detecting salient objects. Existing methods suffer from inadequate fusion …