A low-cost gray prediction search chip for motion estimation

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

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)928-938
Number of pages11
JournalIEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Volume49
Issue number7
DOIs
Publication statusPublished - 2002 Jul 1

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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