Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …

Automatic detection and classification of dynamic hand gestures in real-world systems
intended for human computer interaction is challenging as: 1) there is a large diversity in …

Video based action recognition is one of the important and challenging problems in
computer vision research. Bag of visual words model (BoVW) with local features has been …

In this paper, we propose a discriminative video representation for event detection over a
large scale video dataset when only limited hardware resources are available. The focus of …

Pooling plays an important role in generating a discriminative video representation. In this
paper, we propose a new semantic pooling approach for challenging event analysis tasks …

With the introduction of social networks and services, there has been an increase of
information sharing on the Internet. The availability of Internet capable mobile devices …

We present an efficient approach for leveraging the knowledge from multiple modalities in
training unimodal 3D convolutional neural networks (3D-CNNs) for the task of dynamic hand …

The ability to analyze the actions which occur in a video is essential for automatic
understanding of sports. Action localization and recognition in videos are two main research …

Images and videos are often characterized by multiple types of local descriptors such as
SIFT, HOG and HOF, each of which describes certain aspects of object feature. Recognition …

This paper presents a novel framework to combine multiple layers and modalities of deep
neural networks for video classification. We first propose a multilayer strategy to …