HEVC intra coding using vote-based optimization algorithm

Abstract

We present a voted optimization algorithm utilizing correlation of adjacent frames’ texture feature and thoughts of voted selection for newly proposed video standard High Efficiency Video Coding (HEVC). In addition, a voted algorithm based on original candidate mode collection is developed, which use the candidate modes, to resolve HEVC Most Probable Mode (MPM) mechanism for intra prediction problem. Meanwhile, we perform the vote rules to cut down on candidate collection, which is based on our proposed voted method. Experimental results show that proposed voted algorithm improves the efficiency of encoder by decreasing encoding time with more than 20% and causes nearly negligible increment in bit-rate.