A flexible parallel architecture adapted to block-matching motion-estimation algorithms

Abstract
This paper describes a novel architecture that offers the flexibility of implementing widely varying motion-estimation algorithms. To achieve real-time performance, we employ multiple processing elements (PE's) which communicate with multiple memory banks via a multistage interconnection network. Three different block-matching algorithms-full search, three-step search, and conjugate-direction search-have been mapped onto this architecture to illustrate its programmability. We schedule the desired operations and design the required data-flow in such a way that processor utilization is high and memory bandwidth is at a feasible level. The details regarding the flow of the pixel data and the scheduling and allocation of the desired ALU operations (which pixels are processed on which processors in which clock cycles) are described in the paper. We analyze the performance of the proposed architecture for several different interconnection networks and data-memory organizations

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