The document discusses a multi-scale local binary pattern (MSLBP) dynamics approach for detecting violence in video streams. It downsamples video to 5Hz, generates an MSLBP vector for each image, and computes the average and variance of changes in M over 20 second sections. A linear SVM is trained on the 20480 dimensions to classify sections as violent or not. Results on one movie were misleading due to feature errors, and the model struggles with desynchronization, but can distinguish fast movements from violent events.