1. Introduction In the field of Computer Vision, understanding spatiotemporal information —that is, what is happening and how it changes over time—is crucial for tasks involving video analysis. While standard 2D Convolutional Neural Networks (CNNs) excel at understanding spatial features (objects, shapes, colors) in static images, they fail to capture motion and temporal dynamics.