A cost-effective implementation of object-based motion estimation

Emerging applications in the mobile and automotive industries can benefit from a solution which can segment an image into objects. Although originally not developed for these applications, Object-based Motion Estimation (OME) is an algorithm which provides such a segmentation. In this paper we map this algorithm on all Application Specific Instruction Processor (ASIP) based on a Very Long Instruction Word (VLIW) template. An analysis of the computational requirements is made, using Video Format Conversion as an application, since emerging applications aren't available yet. We also propose a multi-level caching architecture to keep bandwidth and power requirements low and discuss algorithmic changes to OME, which are necessary for OME to be mapped on all ASIP VLIW. A quality comparison of the resulting vector fields is made as well.