Since 2008, a variety of systems have been designed to detect events in security cameras.
There are also more than a hundred journal articles and conference papers published in this …

Defect segmentation is an important way for defect detection in machine vision. For
polycrystalline silicon wafer production, it is difficult to automatically segment defects due to …

Visual-semantic embeddings are central to many multimedia applications such as cross-
modal retrieval between visual data and natural language descriptions. Conventionally …

This paper focuses on two challenges for temporal action localization community, ie, lack of
long-term relationship and action pattern uncertainty. The former prevents the cooperation …

The flourishing of social media platforms requires techniques for understanding the content
of media on a large scale. However, state-of-the art video event understanding approaches …

This paper introduces spatio-temporal interactivity proposals for video surveillance. Rather
than focusing solely on actions performed by subjects, we explicitly include the objects that …

Falling of elderly people who are staying alone at home leads to health risks. If they are not
attended immediately even it may lead to fatal danger to their life. In this paper a novel …

Since 2008, a variety of systems have been designed to detect events in security cameras.
There are also more than a hundred journal articles and conference papers published in this …

Visual analysis has received increasing attention in the fields of computer vision and
multimedia. With enough labeled training data, existing deep learning based methods can …

Smoke detection is a practical technology to protect people's lives and property. Traditional
methods to detect smoke are usually based on human-crafted features, such as color …