Multiview data clustering attracts more attention than their single-view counterparts due to
the fact that leveraging multiple independent and complementary information from multiview …

Recently, Convolutional Neural Networks (ConvNets) have shown promising performances
in many computer vision tasks, especially image-based recognition. How to effectively use …

In this article, we implement an action recognition technique based on features fusion and
best feature selection. In the proposed method, HSI color transformation is performed in the …

Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …

Human actions are often captured by multiple cameras (or sensors) to overcome the
significant variations in viewpoints, background clutter, object speed, and motion patterns in …

The interest in action and gesture recognition has grown considerably in the last years. In
this paper, we present a survey on current deep learning methodologies for action and …

Abstract Convolutional Neural Networks (ConvNets) have recently shown promising
performance in many computer vision tasks, especially image-based recognition. How to …

Human action recognition is an active research area in both computer vision and machine
learning communities. In the past decades, the machine learning problem has evolved from …

Today, the number of available videos on the Internet is significantly increased. Content-
based video retrieval is used for finding the users' desired items among these big video …

The target of cross-modal hashing is to embed heterogeneous multimedia data into a
common low-dimensional Hamming space, which plays a pivotal part in multimedia retrieval …