True motion estimation based on reliable motion decision
Tien-Ying Kuo, Cheng-Hong Hsieh, Yi-Chung Lo, Jianhua Wang · 2013
This paper presents a novel technique to estimate true motion vectors (TMVs) during video encoding. The proposed method designs a system unit to collect motion vectors' (MVs') characteristic in the video encoder. MVs are then classified into reliable and unreliable MVs based on the collected early-stop distribution of each block. The reliable MVs are directly assigned as TMVs, whereas the unreliable MVs must go through the refinement processing for TMV conversion. This algorithm can be easily integrated into the existing video encoders. The experiment result shows that proposed method is superior to the literature works in terms of either performance or computation complexity.