The three-dimensional convolutional neural network is widely used in video recognition,
action recognition and other tasks because it can directly extract temporal and spatial …

In order to improve the accuracy and speed of sports video recognition, a sports video
recognition model based on feature screening and support vector machine is proposed …

Video classification task has gained a significant success in the recent years. Specifically,
the topic has gained more attention after the emergence of deep learning models as a …

The video classification task has gained significant success in the recent years. Specifically,
the topic has gained more attention after the emergence of deep learning models as a …

Video content classification has a wide range of application scenarios. In situations such as
public place security and behavior prediction, the type of behavior of a person is inferred …

Deep neural networks have demonstrated remarkable recognition results on video
classification, however great improvements in accuracies come at the expense of large …

User query towards a cluster/group of video to retrieve videos automatically from available
user dataset plays a significant role in developing multimedia technologies. Analyzing video …

With the rapid development of computer technology, network technology and multimedia
technology, multimedia data is increasing exponentially. As an important part of video …

Automatic recognition of actions in videos taken in uncontrolled environments is one of the
most challenging tasks in computer vision. The most successful recent methods are based …

In this paper, a method of real-time vehicle speed and vehicle type recognition is proposed.
The vehicle type recognition is based on residual network to increase the convergence …