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A low-cost Gray prediction search chip for motion estimation

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4 Author(s)
Jer Min Jou ; Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan ; Yeu-Horng Shiau ; Pei-Yin Chen ; Shiann-Rong Kuang

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. 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

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Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on  (Volume:49 ,  Issue: 7 )