Image classification and video recognition are always a key issue in computer vision. Until
now, the recognition of videos has not achieved good results in some application filed, such …

Deep learning builds deep architectures such as multi-layered artificial neural networks to
effectively represent multiple features of input patterns. The adaptive structural learning …

In order to improve the accuracy of video image moving target recognition and shorten the
recognition time, a video image moving target recognition method based on a generation …

The rapid development of Internet technology brings convenience to our life and also brings
various hidden dangers. Violent video is one of the hidden dangers. Therefore, this paper …

Video classification has been an active research field of computer vision in last few years. Its
main purpose is to produce a label that is relevant to the video given its frames. Unlike …

In order to solve the problems of scene recognition in short videos, this paper proposes a
deep fusion network based on VGGNet. Firstly, VGGNet16 is used to learn global features …

The object recognition technology in video scene has been applied more and more in many
fields, but the recognition accuracy and speed of video object recognition model are limited …

Automatically recognizing facial expressions in video sequences is a challenging task
because there is little direct correlation between facial features and subjective emotions in …

Background: Deep neural network based methods have obtained great progress in a variety
of computer vision tasks, as described in various patents. But, so far, it is still a challenge …

A motion energy image (MEI) is a spatial template that collapses regions of motion into a
single image in which more moving pixels are brighter than others. The forward single-step …