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In this paper, we have proposed a simple and effective approach to classify H.264 compressed videos, by capturing orientation information from the motion vectors. Our major contribution involves computing Histogram of Oriented Motion Vectors (HOMV) for overlapping hierarchical Space-Time cubes. The Space-Time cubes selected are partially overlapped. HOMV is found to be very effective to define the motion characteristics of these cubes. We then use Bag of Features (BOF) approach to define thedoi:10.1109/icassp.2013.6638012 dblp:conf/icassp/BiswasB13 fatcat:sphqfzwm4bcvlk4jhe5dsa5qza