Highly Parallel Framework for HEVC Motion Estimation on Many-Core Platform

Abstract

As the next generation standard of video coding, High Efficiency Video Coding (HEVC) is expected to be more complex than H.264/AVC. Many-core platforms are good candidates for speeding up HEVC in the case that HEVC can provide sufficient parallelism. The local parallel method (LPM) is the most promising parallel proposal for HEVC motion estimation (ME), but it can't provide sufficient parallelism for many-core platforms. On the premise of keeping the data dependencies and coding efficiency the same as the LPM, we propose a highly parallel framework to exploit the implicit parallelism. Compared with the well-known LPM, experiments conducted on a 64-core system show that our proposed method achieves averagely more than 10 and 13 times speedup for 1920×1080 and 2560×1600 video sequences, respectively.