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New motion estimation using low-resolution quantization for MPEG2 video encoding

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3 Author(s)
Seongsoo Lee ; Sch. of Electr. Eng., Seoul Nat. Univ., South Korea ; Jeong Min Kim ; Soo-Ik Chae

We propose a new algorithm of real-time motion estimation for MPEG2 video encoding. It reduces the computational cost by using low bit-resolution quantization and new matching criterion. To maintain the performance, we employed a low-resolution search followed by a full-resolution search. Simulation results show that the proposed algorithm requires 1/17.4 computational cost while maintaining the performance degradation less than 0.37 dB with respect to the full search algorithm for -32.0~+31.5 search range in the CCIR601 image. The architecture for the real-time MPEG2 motion estimator using this algorithm is also explained. It searches concurrently two prediction modes for -32.0~+31.5 search range. Its hardware complexity is estimated to about 100,000 gates of random logic and 90 Kbits of SRAM. A VLSI design of the proposed architecture is in progress using a 0.5 μm triple-metal CMOS standard-cell technology

Published in:

VLSI Signal Processing, IX, 1996., [Workshop on]

Date of Conference:

30 Oct-1 Nov 1996