Hence, a triple dynamic graph convolutional recurrent network (TDGCRN) is proposed in this paper, in which a temporal segmentation-based triple spatio-temporal encoder-decoder module is used to ...

Specifically, the model consists of two key components: encoder and decoder, both composed of ST-block. Initially, we utilize dynamic graph convolution (DGC) and gated recurrent unit (GRU) to ...

If you'll be encoding with SVT-AV1 or VVC, in this article you'll learn a bit about how to optimize your encodes, particularly the trade-offs that pre­sets deliver, and how many logical processors to ...

A basic usage example is available in test.php. I suggest you run this script before you use the library for any other project, because this script acts as a sort of "requirements test" for your ...