Multiple description lattice vector quantization (MDLVQ) is a technique for two-channel multiple description coding. We observe that MDLVQ, in the form introduced by Servetto, Vai...
Jonathan A. Kelner, Vivek K. Goyal, Jelena Kovacev...
We present a method to learn models of human heads for the purpose of detection from different viewing angles. We focus on a model where objects are represented as constellations ...
Abstract. Multimedia servers are increasingly employing parallel systems for the retrieval, scheduling and delivery of streaming multimedia content. However, given non-zero blockin...
Published results show that various models may be obtained by combining parallel composition with probability and with or without non-determinism. In this paper we treat this probl...
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...