Studies show lots of advanced research on various data types such as image, speech, and
text using deep learning techniques, but nowadays, research on video processing is also an …

The video classification task has gained significant success in the recent years. Specifically,
the topic has gained more attention after the emergence of deep learning models as a …

The ability to predict, anticipate and reason about future outcomes is a key component of
intelligent decision-making systems. In light of the success of deep learning in computer …

Owing to the massive amount of video data being generated as a result of high proliferation
of surveillance cameras, the manpower to monitor such system is relatively expensive …

Big data applications are consuming most of the space in industry and research area.
Among the widespread examples of big data, the role of video streams from CCTV cameras …

Video scene analysis is a recent research topic due to its vital importance in many
applications such as real-time vehicle activity tracking, pedestrian detection, surveillance …

Classifying videos according to content semantics is an important problem with a wide range
of applications. In this paper, we propose a hybrid deep learning framework for video …

The goal of human action recognition is to identify and understand the actions of people in
videos and export corresponding tags. In addition to spatial correlation existing in 2D …

Convolutional neural networks (CNNs) have been exten-sively applied for image
recognition problems giving state-of-the-art results on recognition, detection, segmentation …

From the past few decades, Human activity recognition (HAR) is one of the vital research
areas in computer vision in which much research is ongoing. The researcher's focus is …