H.264 compressed video classification using Histogram of Oriented Motion Vectors (HOMV)

Sovan Biswas, R. Venkatesh Babu
2013 2013 IEEE International Conference on Acoustics, Speech and Signal Processing  
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 the
more » ... ch to define the video as histogram of HOMV keywords, obtained using k-means clustering. The video feature, thus computed, is found to be very effective in classifying videos. We demonstrate our results with experiments on two large publicly available video database.
doi:10.1109/icassp.2013.6638012 dblp:conf/icassp/BiswasB13 fatcat:sphqfzwm4bcvlk4jhe5dsa5qza