Qualitative Vocabulary based Descriptor

Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson

2013

Abstract

Creating a single feature descriptors from a collection of feature responses is an often occurring task. As such the bag-of-words descriptors have been very successful and applied to data from a large range of different domains. Central to this approach is making an association of features to words. In this paper we present a new and novel approach to feature to word association problem. The proposed method creates a more robust representation when data is noisy and requires less words compared to the traditional methods while retaining similar performance. We experimentally evaluate the method on a challenging image classification data-set and show significant improvement to the state of the art.

Paper Citation

in Harvard Style

Maboudi Afkham H., Henrik Ek C. and Carlsson S. (2013). Qualitative Vocabulary based Descriptor . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 188-193. DOI: 10.5220/0004266901880193

in Bibtex Style

@conference{icpram13,
author={Heydar Maboudi Afkham and Carl Henrik Ek and Stefan Carlsson},
title={Qualitative Vocabulary based Descriptor},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={188-193},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004266901880193},
isbn={978-989-8565-41-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Qualitative Vocabulary based Descriptor
SN - 978-989-8565-41-9
AU - Maboudi Afkham H.
AU - Henrik Ek C.
AU - Carlsson S.
PY - 2013
SP - 188
EP - 193
DO - 10.5220/0004266901880193