Implementation of real-time MPEG-4 FGS encoder

Yen Kuang Chen, Wen-Hsiao Peng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

While computers become faster than they used to be, software implementation of the latest video codec in real time is still a challenging topic. This paper presents our techniques in optimizing the speed of MPEG-4 Fine Granularity Scalability (FGS) video encoders. First, zigzag scans are slow processes in video encoding and decoding. While state-of-the-art processors utilize hardware data prefetchers to reduce memory latency, non-sequential addresses in the zigzag scan may destroy the trackability of hardware prefetching. The problem is even more serious in MPEG-4 FGS where we need multiple scans in bit-plane coding. More than 30% of CPU time is for bit-plane encoding in an MPEG-4 FGS encoder (including base layer and enhancement layer). In this work, we rearrange the layout of the image structure so that zigzag scans are in sequential memory locations. After the rearrangement, there are prefetch reads and we see 80% speed-up in bit-plane encoding. Second, variable length encoder (VLC) incurs a huge number of unpredictable conditional branches. While modern processors can execute tens of instructions in their pipeline, a mis-predicted branch will decrease the efficiency of the pipeline. The problem is severer in MPEG-4 FGS where we need multiple bitplane VLC’s. More than half of the CPU time for MPEG-4 FGS enhancement layer encoder is on bit-plane VLC’s. In this work, we also design a bit-plane VLC algorithm, which has fewer unpredictable branches. The new design reduces mis-predicted branches by 2.4x. After these changes, overall speed-up in our MPEG-4 FGS software encoder is 1.4x without any assembly and MMX technology optimization.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings
EditorsYung-Chang Chen, Long-Wen Chang, Chiou-Ting Hsu
PublisherSpringer Verlag
Pages839-846
Number of pages8
ISBN (Print)3540002626, 9783540002628
DOIs
StatePublished - 1 Jan 2002
Event3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002 - Hsinchu, Taiwan
Duration: 16 Dec 200218 Dec 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2532
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002
CountryTaiwan
CityHsinchu
Period16/12/0218/12/02

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