Due to the problems of the new generation of video coding standard HEVC (High-Efficiency Video Coding), such as high computational complexity and the large computation, This paper proposes a fast inter-mode decision algorithm based on image texture features and by using Sobel operator the edge features are extracted from CU which is partitioned by simulation, and then the final partitioning size of CU is determined by the texture features contained in the current CU block of simulation partitioning. By using this method, both of the traverse layers of CU depth and the times of inter predictive coding are reduced. Thus the computational complexity of coding terminal is lowered effectively. The experimental results showed that, compared with inter-mode decision algorithm in HEVC standard, the time of this method is saved 45.35% on average with little loss of coding efficiency and PSNR (peak signal-noise ratio). Index Terms-HEVC, inter frame, texture feature, coding depth I. INTRODUCTION The new generation of the video compression standard HEVC (High Efficiency Video Coding) was JCT-VC (Joint Collaborative Team on Video Coding) jointly established by ISO/IEC (MPEG) and Video Coding Experts Group (VCEG) of ITU-T, and it was determined in the first JCT-VT meeting convened in April, 2010 in Germany along with the test software HM(HEVC Model) [1]. HEVC was formally determined as the international standard in the 12th JCT-VT meeting convened in January of 2013 in Switzerland. It mainly serves highdefinition video which is gradually promoted now [2]. Compared with the H.264/AVC, the aspects improved by HEVC mainly are: (1) the size of macroblock extends from 16×16 of H.264/AVC to 64×64 so as to the compress for video of high resolution, at the same time, the luminance component has 35 defined prediction modes and the chrominance component has 6 in intra prediction technology; (2) flexible coding structure includes CU (Coding Unit), PU (Prediction Unit) and TU (Transform unit), and the CU of largest size is called as