In the present era, Deep Learning has been applied on a variety of problems from image
processing to speech recognition. Convolution Neural Network (CNN) has been extensively …

Video classification is the task of producing an index or a label that is relevant to the given
video. For this classification input can be in frames, heatmaps of respective videos, etc …

Video content analysis and video classification are some of the very tricky problems among
computer vision researchers. Especially in sports videos, shared common actions appear in …

Classification of videos based on its content is one of the challenging and significant
research problems. In this paper, a simple and efficient model is proposed for classification …

In this paper an artificial neural network for video classification were presented. Artificial
neural networks were essential part of the video classification. As they are more and more …

Video classification has been an active research field of computer vision in last few years. Its
main purpose is to produce a label that is relevant to the video given its frames. Unlike …

Анотація This paper explores the classification of video data with convolutional neural
networks. It discusses how convolutional neural network architecture can do this task with …

Action Recognition is one of the time series classification problem where we analyse the
data from series of time steps for classifying and predicting the action being performed …

In recent years, there has been a rapid development in web users and sufficient bandwidth.
Internet connectivity, which is so low cost, makes the sharing of information (text, audio and …

Classifying sports videos is complex due to their dynamic nature. Traditional methods, like
optical flow and the Histogram of Oriented Gradient (HOG), are limited by their need for …