Title :
A low-cost Gray prediction search chip for motion estimation
Author :
Jou, Jer Min ; Shiau, Yeu-Horng ; Chen, Pei-Yin ; Kuang, Shiann-Rong
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fDate :
7/1/2002 12:00:00 AM
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. 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
Keywords :
CMOS digital integrated circuits; Gray codes; VLSI; data compression; data flow computing; digital signal processing chips; discrete cosine transforms; motion estimation; transform coding; video coding; CMOS technology; DCT transform coding; Gray system theory; MPEG video; application-specific VLSI; block motion estimation; block-matching algorithm; dedicated chip; encoding complexity; fast search algorithms; four address generators; four memory banks; hardware behavioral description; image blocks; low-cost Gray prediction search chip; motion vectors; real time resolution; regular-data-flow computations; table-look-up technique; video compression standards; CMOS technology; Clocks; Costs; Frequency selective surfaces; Hardware; Image sequences; Motion estimation; Prediction algorithms; Transform coding; Very large scale integration;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
DOI :
10.1109/TCSI.2002.800468
