Sports data analysis is becoming increasingly large scale, diversified, and shared, but
difficulty persists in rapidly accessing the most crucial information. Previous surveys have …

Due to the rapid advances of information technologies, Big Data, recognized with 4Vs
characteristics (volume, variety, veracity, and velocity), bring significant benefits as well as …

Complex cells in primary visual cortex (V1) selectively respond to bars and edges at a
particular location and orientation. Namely, they are relatively invariant to the phase as well …

Video Question Answering (VideoQA) is the extension of image question answering
(ImageQA) in the video domain. Methods are required to give the correct answer after …

The identification of animal behavior in video is a critical but time-consuming task in many
areas of research. Here, we introduce DeepAction, a deep learning-based toolbox for …

Different from traditional action recognition based on video segments, online action
recognition aims to recognize actions from an unsegmented stream of data in a continuous …

In multicamera video surveillance, it is challenging to represent videos from different
cameras properly and fuse them efficiently for specific applications such as human activity …

Abstract Local Binary Pattern (LBP) has achieved great success in texture classification due
to its accuracy and efficiency. Traditional LBP method encodes local features by binarying …

In this paper, we study one-shot learning gesture recognition on RGB-D data recorded from
Microsoft's Kinect. To this end, we propose a novel bag of manifold words (BoMW)-based …

Deep learning techniques, eg, Convolutional Neural Networks (CNNs), have been
explosively applied to the research in the fields of information retrieval and natural language …