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Optimization of AVS Exp-Golomb Code Algorithm with Stream Processor

Authors: Zhenhua Xu; Mei Yu; Gangyi Jiang; Chao Huang;

Optimization of AVS Exp-Golomb Code Algorithm with Stream Processor

Abstract

Storm processor is a stream-based prototype processor designed for media processing. It has good performance and high efficiency for modern media processing and signal processing applications. It exploits the large amounts of parallelism available in many signal processing applications yet achieves high power efficiency by managing data movement directly with an on-chip register-file hierarchy and stream processing execution model. Audio Video Coding Standard (AVS) is the Chinese national video coding standard which promises improved performances close to H.264/AVC with lower complexity. This paper presents implementation of Exponential Golomb (Exp-Golomb) code which is one of the key techniques in AVS video compression standard on Storm stream processor. Experimental results show that the coding efficiency for 720P format can be up to 32fps, achieving the real-time requirement of high-resolution video application. It proves that AVS coding is well suited for implementation on the Storm processor.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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