Alexander Munteanu

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Overcomplete discrete wavelet transforms (ODWT) are used in a number of applications because they provide shift invariance, a property extremely useful in wavelet-based image processing and video coding. In this paper, we propose a new construction of the ODWT starting from the subbands of the critically-sampled (complete) DWT. The most straightforward(More)
Video content delivery is a challenging task due to its large bandwidth requirements and its sensitivity to transmission errors. In this context, simultaneously providing scalability and resilience against transmission errors is of paramount importance. Layered video coding coupled with multicast video transmission employing no feedback provides the(More)
This paper deals with computing the smallest enclosing ball of a set of points subject to probabilistic data. In our setting, any of the n points may not or may occur at one of finitely many locations, following its own discrete probability distribution. The objective is therefore considered to be a random variable and we aim at finding a center minimizing(More)
We consider the two-sample homogeneity problem where the information contained in two samples is used to test the equality of the underlying distributions. For instance, in cases where one sample stems from a simulation procedure modelling the data generating process of the other sample consisting of observed data, a mere rejection of the null hypothesis is(More)
This article deals with random projections applied as a data reduction technique for Bayesian regression analysis. We show sufficient conditions under which the entire d-dimensional distribution is approximately preserved under random projections by reducing the number of data points from n to k ∈ O(poly(d/ε)) in the case n d. Under mild assumptions, we(More)
This technical report deals with the smallest enclosing ball problem subject to probabilistic data. In our setting, any of n points may not or may occur at one of finitely many locations, following its own discrete probability distribution. The objective is therefore considered to be a random variable and we aim at finding a center minimizing the expected(More)
Scalable wavelet-based video coding is of paramount importance in applications in order to adapt the video content to the channel conditions and to enable the selection of a variety of user preferences in terms of quality, resolution and frame-rate. Apart of this, a growing number of mobile devices on which video has to be decoded, stresses the need for(More)
This paper proposes a real-time optimized error resilient rate allocation methodology for streaming video encoded using the recently developed scalable extension of H.264/AVC. The proposed methodology takes into account the channel requirements and the end-device specifications, and jointly extracts and protects parts of the scalable video stream in order(More)