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Crowding asymmetries explained by a model of image segmentation

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Segmentation fémorale par modèle déformable et programmation dynamique

Gaëtan Marti

This Ph.D thesis presents new paradigms in the field of segmentation by mean of deformable models. Classic model-based segmentation approach consists of iteratively deform complex models in the space of the scanner slices until the organ to segment is fitt ...

EPFL2007

A Framework for Evaluating Video Object Segmentation Algorithms

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 ...

IEEE2006

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

Touradj Ebrahimi, Elisa Drelie Gelasca

2006

Unsupervised multiscale image segmentation

Ana Dimitrijevic

In the early stages of visual information processing one of the most fundamental and complex task is segmentation. This process is used to divide images or image sequences into meaningful regions or objects. Such a representation is definitely needed to go ...

EPFL2006

Image Segmentation Model Using Active contour and Image Decomposition

Jean-Philippe Thiran, Xavier Bresson

This paper proposes an image segmentation model based on the active contour model, the Mumford-Shah functional and the image decomposition process. Generally speaking, the active contour model detects boundaries in images from sharp intensities variations ...

IEEE2006

Effect of Segmentation Method on Video Retrieval Performance

David Grangier, Alessandro Vinciarelli

This paper presents experiments that evaluate the effect of different video segmentation methods on text-based video retrieval. Segmentations relying on modalities like speech, video and text or their combination are compared with a baseline sliding window ...

2005

Image segmentation with variational active contours

Xavier Bresson

An important branch of computer vision is image segmentation. Image segmentation aims at extracting meaningful objects lying in images either by dividing images into contiguous semantic regions, or by extracting one or more specific objects in images such ...

EPFL2005

An Adaptive Total Variation Model for Image Segmentation

Pierre Vandergheynst

In our previous work, tracking the iso-level sets through total variation scale-space proved to be a very efficient tool for unsupervised segmentation. Stepping on these results, we propose a new segmentation approach in a unified total variation framework ...

2005

Interaction between High-Level and Low-Level Image Analysis for Semantic Video Object Extraction

Touradj Ebrahimi, Andrea Cavallaro

The task of extracting a semantic video object is split into two subproblems, namely, object segmentation and region segmentation. Object segmentation relies on a priori assumptions, whereas region segmentation is data-driven and can be solved in an automa ...

2004

Shadow segmentation and tracking in real-world conditions

Elena Salvador

Visual information, in the form of images and video, comes from the interaction of light with objects. Illumination is a fundamental element of visual information. Detecting and interpreting illumination effects is part of our everyday life visual experien ...

EPFL2004