1. A computer-implemented process for identifying the presentation style of a video, comprising the actions of: using one or more computing devices that are in communication with each other via a computer network to perform the following process actions: receiving the video; computing a set of image features that are computed for each frame of the video independently, the image features comprising one or more of, a low-contrast feature measuring pixel intensity statistics for the video according to a prescribed low-contrast threshold, or a high-contrast feature measuring pixel intensity statistics for the video according to a prescribed high-contrast threshold, or a zero-gradients feature measuring the amount of zero gradients that exist in the video, or a low-gradients feature measuring the amount of weak but non-zero gradients that exist in the video, or a high-gradients feature measuring the amount of strong gradients that exist in the video, or a noise feature measuring the amount of pixel intensity noise that exists in the video; and using a pre-learned video presentation style classifier to weight each of the image features in said set and determine a presentation style that is predominately employed in the video, said presentation style determination being based on the weighting of said features.