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SIMD optimization of the H.264/SVC decoder with efficient data structure

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5 Author(s)
Joohyun Lee ; Dept. of Electr. & Comput. Eng., Hanyang Univ., Seoul ; Gwanggil Jeon ; Sangjun Park ; Taeyoung Jung
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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 4times4 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.

Published in:

Multimedia and Expo, 2008 IEEE International Conference on

Date of Conference:

June 23 2008-April 26 2008