Qualitative Vocabulary based Descriptor

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.

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Cite this paper

@inproceedings{Afkham2013QualitativeVB, title={Qualitative Vocabulary based Descriptor}, author={Heydar Maboudi Afkham and Carl Henrik Ek and Stefan Carlsson}, booktitle={ICPRAM}, year={2013} }