Implementation of Machine Learning Techniques for Automated Video Annotation

this paper looks into using device learning strategies to automate the annotation of video content. This can be completed that allows you to beautify the search ability of a video, or to offer an extra enriched viewing experience. Annotation of films is historically a manual procedure and has often established to be time eating and labor intensive. This paper proposes to apply deep getting to know algorithms to try to automate the annotation manner via the extraction of person frames as well as spotting gadgets acting within the video. Especially, its miles proposed that the use of convolutional neural network (CNN) and recurrent neural network (RNN) strategies can be used in order to version the features of video enter and output. Initial outcomes of trials advocate that the proposed method is able to providing a powerful annotation of a video given enough schooling statistics.