Patent Document ID: 9652675
Application ID: 14339242

Base Claim:
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.

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Claim 2:
2. The process of claim 1 , wherein the determined presentation style comprises a one of the presentation styles in a set of possible presentation styles comprising: a rendered video class of presentation styles; and a real-world video class of presentation styles.