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Authors: Johann Strassburg ; Rene Grzeszick ; Leonard Rothacker and Gernot A. Fink

Affiliation: TU Dortmund University, Germany

Keyword(s): Image Parsing, Superparsing, Segmentation, Superpixels.

Abstract: Image parsing describes a very fine grained analysis of natural scene images, where each pixel is assigned a label describing the object or part of the scene it belongs to. This analysis is a keystone to a wide range of applications that could benefit from detailed scene understanding, such as keyword based image search, sentence based image or video descriptions and even autonomous cars or robots. State-of-the art approaches in image parsing are data-driven and allow for recognizing arbitrary categories based on a knowledge transfer from similar images. As transferring labels on pixel level is tedious and noisy, more recent approaches build on the idea of segmenting a scene and transferring the information based on regions. For creating these regions the most popular approaches rely on over-segmenting the scene into superpixels. In this paper the influence of different superpixel methods will be evaluated within the well known Superparsing framework. Furthermore, a new method that c omputes a superpixel-like over-segmentation of an image is presented that computes regions based on edge-avoiding wavelets. The evaluation on the SIFT Flow and Barcelona dataset will show that the choice of the superpixel method is crucial for the performance of image parsing. (More)

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Paper citation in several formats:
Strassburg, J.; Grzeszick, R.; Rothacker, L. and Fink, G. (2015). On the Influence of Superpixel Methods for Image Parsing. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 518-527. DOI: 10.5220/0005355705180527

@conference{visapp15,
author={Johann Strassburg. and Rene Grzeszick. and Leonard Rothacker. and Gernot A. Fink.},
title={On the Influence of Superpixel Methods for Image Parsing},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={518-527},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005355705180527},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP
TI - On the Influence of Superpixel Methods for Image Parsing
SN - 978-989-758-090-1
IS - 2184-4321
AU - Strassburg, J.
AU - Grzeszick, R.
AU - Rothacker, L.
AU - Fink, G.
PY - 2015
SP - 518
EP - 527
DO - 10.5220/0005355705180527
PB - SciTePress

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