High-Throughput Reconfigurable Variable Length Coding Decoder for MPEG-2 and AVC/H.264

Gwo Giun (Chris) Lee, Chun Fu Chen, Shu Ming Xu, Ching Jui Hsiao

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This paper presents a reconfigurable architecture for two video coding standards, MPEG-2 and AVC/H.264. The proposed reconfigurable architecture dynamically configures the architecture to achieve multiple functions in variable length coding decoder and context-adaptive variable length coding decoder. By means of extracting the commonalities at the low-level dataflow, the designed reconfigurable architecture optimizes hardware resources and increases architectural flexibility through the reconfigurability in the adaptively constructing architecture. On the other hand, the proposed reconfigurable architecture combines several strategies in AVC/H.264 mode, and subsequently revises and integrates these mechanisms to achieve a high-throughput rate. As a consequence, the memory usage of the proposed reconfigurable architecture achieves 37.5 % memory bits saving and 46.7 % memory area reduction as compared to the individual implementation; moreover, in AVC/H.264 mode, this reconfigurable architecture requires only 50 cycles to decode one marcoblock on average. Due to the flexibility, the proposed reconfigurable architecture costs 10.8 K gates by using 0.18 μm CMOS technology at the 108 MHz clock rate, and supports variable length coding in MPEG-2 with 1920 × 1080@30fps and context-adaptive variable length coding in AVC/H.264 with 1920 × 1080@60fps. From the perspectives of architectural costs and supported functions, the proposed architecture surpasses the related works in the state of the art.

Original languageEnglish
Pages (from-to)27-40
Number of pages14
JournalJournal of Signal Processing Systems
Volume82
Issue number1
DOIs
Publication statusPublished - 2016 Jan 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Signal Processing
  • Information Systems
  • Modelling and Simulation
  • Hardware and Architecture

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