A fast background model based surveillance video coding in HEVC
High Efficiency Video Coding (HEVC) is the most up to dated video coding standard which reduces the bit rate by almost 40% with the same objective quality compared to H.264/AVC but at about 40% extra encoding complexity overhead. The main reason for HEVC complexity increase is inter prediction that accounts for 60-70% of the whole encoding time. Especially for surveillance video with huge amount of data, the reducing of coding complexity is a very pressing work. So in this paper, a novel fast method is proposed based on background model to speed up the searching procedure of surveillance video coding. This paper analyzes the proportion of different block partitions and reference frames for multiple types blocks, and puts the analysis results into practice by developing optimized mode decision and reference frame selection schemes for the HEVC encoder according to spatial-temporal corresponding CUs (coding units) or PUs (prediction units). Simulation results show that the proposed algorithm can achieve more than 41 % reduction of coding time with comparable rate distortion (RD) performance.