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Multimedia Systems

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28.03.2016 | Regular Paper

Efficient logo recognition by local feature groups

verfasst von: Yujie Liu, Jun Wang, Zongmin Li, Hua Li

Erschienen in: Multimedia Systems | Ausgabe 3/2017

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Abstract

This paper presents a method for efficient and scalable logo recognition. Using generalized Hough transform to identify local features that are invariant across images, we can efficiently add spatial information into groups of local features and enhance the discriminative power of local feature. Our method is more flexible and efficient compared with state-of-the-art methods that merge features into groups. To fully exploit the information that different logo images provide, we employ a reference-based image representation scheme to represent training and testing images. Experiments on challenging datasets show that our method is efficient and scalable and achieves state-of-the-art performance.

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Titel: Efficient logo recognition by local feature groups
verfasst von: Yujie Liu
Jun Wang
Zongmin Li
Hua Li
Publikationsdatum: 28.03.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Multimedia Systems / Ausgabe 3/2017
Print ISSN: 0942-4962
Elektronische ISSN: 1432-1882
DOI: https://doi.org/10.1007/s00530-016-0508-7

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