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A low-cost gray prediction search chip for motion estimation

  • Jer Min Jou
  • , Yeu Horng Shiau
  • , Pei Yin Chen
  • , Shiann Rong Kuang

研究成果: Article同行評審

9   連結會在新分頁中打開 引文 斯高帕斯(Scopus)

摘要

Taking advantage of the prediction ability provided by gray system theory, the gray prediction search (GrPS) algorithm can determine the motion vectors of image blocks correctly and quickly [6]. A dedicated GrPS chip, which is with low cost and has the properties of regular-data-flow computations, is proposed in this paper to support the MPEG video resolution in real time. With 0.6-μm CMOS technology, the proposed chip needs a die size of 2.8 × 2.9 mm2 with about 54-K transistors, and can work with a clock rate of 66 MHz. Since GrPS performs better than other fast search algorithms, such as TSS, CS, PHODS, FSS, and SES, this low-cost GrPS chip is a good candidate for real-time motion estimation.

原文English
頁(從 - 到)928-938
頁數11
期刊IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
49
發行號7
DOIs
出版狀態Published - 2002 7月

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程

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