Object recognition in videos by sequential frame extraction using convolutional neural networks and fully connected neural networks
Meghajit Mazumdar, V Sarasvathi, Akshay Kumar · 2017
In this paper, a method to develop an interactive application in order to detect objects from videos is proposed. The application is able to classify the video according to a particular genre. Also, upon user input, it is also able to detect the particular object being shown at that instant on the screen. A sequential frame extraction method of videos and also deep learning approach of Convolutional Neural Networks along with Fully Connected Neural Networks is used for this task. The method gives good accuracy of average 77 percent.