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Optimal segmentation techniques for piecewise stationary signals

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Nonlinear approximation with redundant multi-component dictionaries

Lorenzo Granai

The problem of efficiently representing and approximating digital data is an open challenge and it is of paramount importance for many applications. This dissertation focuses on the approximation of natural signals as an organized combination of mutually c ...

EPFL2006

Multiscale Active Contours

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson

We propose a new multiscale image segmentation model, based on the active contour/snake model and the Polyakov action. The concept of scale, general issue in physics and signal processing, is introduced in the active contour model, which is a well-known im ...

2006

Speech Coding based on Spectral Dynamics

Petr Motlicek, Hynek Hermansky

In this paper we present first experimental results with a novel audio coding technique based on approximating Hilbert envelopes of relatively long segments of audio signal in critical-band-sized sub-bands by autoregressive model. We exploit the generalize ...

2006

Speech Coding based on Spectral Dynamics

Petr Motlicek, Hynek Hermansky

IDIAP2006

Observations on Multi-Band Asynchrony in Distant Speech Recordings

Guillaume Lathoud

Whenever the speech signal is captured by a microphone distant from the user, the acoustic response of the room introduces significant distortions. To remove these distortions from the signal, solutions exist that greatly improve the ASR performance (what ...

IDIAP2006

On Evaluating Video Object Segmentation Quality: A Perceptually driven Objective Metric

Touradj Ebrahimi, Elisa Drelie Gelasca

Segmentation of moving objects in image sequences plays an important role in video processing and analysis. Evaluating the quality of segmentation results is necessary to allow the appropriate selection of segmentation algorithms and to tune their paramete ...

2006

A Framework for Evaluating Video Object Segmentation Algorithms

Touradj Ebrahimi, Elisa Drelie Gelasca

IEEE2006

On Variable-Scale Piecewise Stationary Spectral Analysis of Speech Signals for ASR

Hervé Bourlard, Vivek Tyagi

It is often acknowledged that speech signals contain short-term and long-term temporal properties that are difficult to capture and model by using the usual fixed scale (typically 20ms) short time spectral analysis used in hidden Markov models (HMMs), base ...

Elsevier2006

The Distributed Karhunen-Loève Transform

Martin Vetterli, Michael Christoph Gastpar, Pier Luigi Dragotti

The Karhunen–Loève transform (KLT) is a key ele- ment of many signal processing and communication tasks. Many recent applications involve distributed signal processing, where it is not generally possible to apply the KLT to the entire signal; rather, the K ...

2006

Image/video representation and scalable coding using redundant dictionaries

Adel Rahmoune

Compact or efficient representation for either images or image sequences is key operation to performing image and video processing tasks, such as compression, analysis, etc. The efficiency of an approximation is evaluated by the sparsity measure of the app ...

EPFL2005