时 间：2012年11月30日（周五）上午9:30

地 点：北京大学计算机科学技术研究所 309 会议室 （中关村北大街128号计算机所大楼）

报告人：舒爽

报告题目：SIMD OPTIMIZATION OF THE H.264/SVC DECODER WITH EFFICIENT DATA STRUCTURE

报告摘要：

ABSTRACT：H.264/scalable video coding (SVC) is a new compression technique that can adapt to various network environments and applications. However, despite its outstanding performance, H.264/SVC has considerable complexity burden on decoding, especially in inverse transform and interpolation for motion compensation. We first analyze the Joint Scalable Video Model (JSVM) decoder to identify time-consuming modules of H.264/SVC. Based on the analysis, we present the single instruction multiple data (SIMD) Optimization methods for 4×4 inverse transform and interpolation for motion compensation with an efficient data structure. On a 2.4 GHz Intel Pentium IV processor, the proposed methods reduce considerably the computation time for inverse transform and interpolation for motion compensation, compared to JSVM software.

注：文章选自 Multimedia and Expo, 2008 IEEE International Conference on Date of Conference, June 23 2008, Page(s): 69 - 72