This video explains 1D filters in computer vision. It covers signal scaling, sliding windows, cross-correlation, convolution, mean filters, Laplacian filters, signal shifting, ReLU and max pooling. The concepts are illustrated with hand calculations and Excel examples, showing how to implement these operations efficiently using matrix multiplication for GPU acceleration. The video concludes by demonstrating filter design for pattern detection and visualizing filter equations.