Data Flow Oriented Parallel Architectures for Block Matching Motion Estimation Algorithm

碩士 === 國立交通大學 === 電子研究所 === 82 === In this thesis, a novel VLSI architecture is proposed for the implementation of the well-known full search block matching motion estimation algorithm. The architecture is based on efficient data flow desig...

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Bibliographic Details
Main Authors: Mei-Cheng Lu, 陸美娟
Other Authors: Chen-Yi Lee
Format: Others
Language:en_US
Published: 1994
Online Access:http://ndltd.ncl.edu.tw/handle/93187682621447160240
Description
Summary:碩士 === 國立交通大學 === 電子研究所 === 82 === In this thesis, a novel VLSI architecture is proposed for the implementation of the well-known full search block matching motion estimation algorithm. The architecture is based on efficient data flow design which allows sequential inputs but performs parallel processing to achieve 100% hardware efficiency. The architecture mainly consists of four units, namely memory bank unit, processing unit, delay unit and output unit. The memory bank unit stores input data in order to save data loading time. The processing unit does mean absolute difference between reference data and search data. The delay unit scales the output partial sum and stores the next reference data. The output unit adds every row distortion, identifies the minimum distortion among candidates, and then sends out the corresponding motion vector. Simulation results show that, based on TSMC 0.8μm CMOS process technology, clock speed up to 100MHz can be This implies that the developing chip can handle many video coding applications based on motion estimation method.