2. 2. The MSLBP dynamics approach
• Video stream downsampled at 5Hz
• For each image, we generate a M vector of 10240 elements =
its Multi-Scale Local Binary Pattern (MSLBP)
• We compute the average and variance of dM / dt
for each section of 20 seconds
• We train a Linear SVM on the resulting 20480 dimensions
target : violence
• Let the shot estimates = max(prediction on all sections included in the shot)

3. 3. RESULTS & CONCLUSION
Runs on the 3rd movie are misleading due to
feature computation errors…
Results will be easely improved because
the model makes the difference between
fast movements versus violent events,
BUT
it suffers from desynchronization (few sec)…:
P = 0.19
P = 0.50