Disclosed in some examples are real-time video classifier systems, methods, devices, and machine readable mediums that determine whether or not to submit a current video frame to a classifier based upon a similarity score that measures a similarity between the current video frame and previous video frames found by the classifier to contain the feature of interest. For example, a similarity score may be calculated for a current video frame and a previous video frame found by the classifier to contain a feature of interest. The current video frame may be submitted to the classifier only if the similarity score is below a threshold similarity score. That is, only video frames that are sufficiently different from previous images that were found as containing the feature of interest are presented to the classifier.