Region-of-unpredictable determination for accelerated full-frame feature generation in video sequences
In this paper, we propose a novel concept of region-of-unpredictable (ROU) to accelerate full-frame feature generation in video sequences. Due to the high correlation between successive frames, there are only few regions in which the features could not be estimated accurately from the previous frame called region-of-unpredictable (ROU). We develop a scheme combining partial feature extraction in ROU with feature prediction from the previous frame. The full-frame features of the current frame can then be obtained to minimize information loss. Experimental results show that the ROU determination algorithm supports 95.71% detection rate. The full-frame feature generation scheme using ROU determination saves 79.38% computational time compared with the full-frame feature extraction.