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The number of the HCOF characteristics of each block is 36 x 3 = 108 dimension.
After feature extraction, we group blocks into regions according to the similarity of local spatiotemporal activity patterns represented as histograms of oriented color optical flow (HCOF).
The two methods differ mainly in their feature representations, that is, time-series representation in Loy's method and HCOF in our method.
Then we introduced HCOF to detect and quantify correlation and temporal relationships between partial observations across local regions.