Today’s global markets demand global processes. Increasingly, these processes are not only distributed, but also contain mobile aspects. We discuss two challenges brought about b...
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
Abstract. To convert an interlaced video into a progressive one effectively, de-interlacing techniques have been developed. However, existing de-interlacing techniques can not per...
Based on the Lagrangian framework for fluid dynamics, a streakline
representation of flow is presented to solve computer vision
problems involving crowd and traffic flow. Streakl...
This paper interprets image interpolation as a channel decoding problem and proposes a tanner graph based interpolation framework, which regards each pixel in an image as a variab...