Publication

Objective evaluation of segmentation quality using spatio-temporal context

Touradj Ebrahimi, Andrea Cavallaro
2002
Conference Papers

Abstract

In this paper, we propose an automatic method for the objective evaluation of segmentation results. The method is based on computing the deviation of the segmentation results from a reference segmentation. The discrepancy between two results is weighted based on spatial and temporal contextual information, by taking into account the way humans perceive visual information. The metric is useful for applications where the final judge of the quality is a human observer or the results of segmentation are otherwise processed in a human-like fashion. The proposed evaluation has been applied both to automatically provide a ranking among different segmentation algorithms and to optimally set the parameters of a given algorithm.

Official source

https://infoscience.epfl.ch/entities/publication/532dd0e2-1412-4edd-964c-0cf98a359c59

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Touradj Ebrahimi, Andrea Cavallaro
2002
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/532dd0e2-1412-4edd-964c-0cf98a359c59

About this result

Related concepts (20)

Image segmentation

In and computer vision, image segmentation is the process of partitioning a into multiple image segments, also known as image regions or image objects (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics.

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In marketing, market segmentation is the process of dividing a broad consumer or business market, normally consisting of existing and potential customers, into sub-groups of consumers (known as segments) based on shared characteristics. In dividing or segmenting markets, researchers typically look for common characteristics such as shared needs, common interests, similar lifestyles, or even similar s.

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Objective evaluation of segmentation quality using spatio-temporal context

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