SIMD OPTIMIZATION OF THE H.264/SVC DECODER WITH EFFICIENT DATA STRUCTURE

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

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