Getting the Emotional Coloring of Videos for Further Teaching of Neural Networks

Abstract

With the development of online video services, machine learning technologies are developing. At this stage of development, neural networks allow us to identify patterns in the incoming data, while their mass usage in various technologies does not surprise with its vastness. The special problem is the training of networks based on video data. This article is devoted to the tasks of clustering video on emotional coloring with the help of neural networks, or more precisely, the approach which allows to accelerate the training of the neural network and to determine the emotional coloring of the video in subsequent actions.