A HARDWARE-EFFICIENT ARCHITECTURE FOR MULTI-RESOLUTION MOTION ESTIMATION USING FULLY RECONFIGURABLE PROCESSING ELEMENT ARRAY

Abstract

Integer motion estimation (IME) for block-based video coding presents a significant challenge in external memory bandwidth, data latency, and circuit area with the increase of coding complexity and video resolution. To conquer these problems, this paper proposes a hardware-efficient VLSI architecture for multi-resolution motion estimation algorithm (MMEA) based on fully reconfigurable processing element (PE) array. On-chip storage and PE array are carefully designed to support parallel computation and hardware resource sharing. In addition, low data latency is obtained by arranging internal logics in parallel according to the data dependency. As a result, our design can support real time processing of 1080P@30fps with 2 reference frames and a search range of 256x192 and it is implemented under SMIC 0.18-mu m CMOS technology with 920K logic gates and 192 KB SRAMs. Compared with previous work, our design can achieve the best performance-price rate benefiting from the proposed re-configurable PE array.