There’s a problem with this approach though - if you’ve ever tried to apply simple image classification to video classification you likely encountered a sort of “prediction flickering” as seen in the video at the top of this section. Label the frame and write the output frame to disk.Classify each frame individually and independently of each other.For each frame, pass the frame through the CNN.Since a video is just a series of frames, a naive video classification method would be to: Choose the label with the largest corresponding probability.When performing image classification, we: How is video classification different than image classification? In the remainder of this tutorial, you’ll learn how to train a CNN for image classification (specifically sports classification) and then turn it into a more accurate video classifier by employing rolling averaging. Instead, for some applications, all you may need is rolling averaging over predictions. They are also resource-hungry and time-consuming when it comes to training over thousands of video files as you can imagine. Neural network architectures such as Long short-term memory (LSTMs) and Recurrent Neural Networks (RNNs) are suited for time series data - two topics that we’ll be covering in later tutorials - but in some cases, they may be overkill. If we are able to take advantage of the temporal nature of videos, we can improve our actual video classification results. Video classification is more than just simple image classification - with video we can typically make the assumption that subsequent frames in a video are correlated with respect to their semantic contents. There’s a problem with that approach though. Videos can be understood as a series of individual images and therefore, many deep learning practitioners would be quick to treat video classification as performing image classification a total of N times, where N is the total number of frames in a video. Update: This blog post is now TensorFlow 2+ compatible! Looking for the source code to this post? Jump Right To The Downloads Section Video Classification with Keras and Deep Learning
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