2D motif basis applied to the classification of digital images

Simona Ester Rombo, Maria Carmela Groccia, Angelo Furfaro, Angelo Furfaro

Risultato della ricerca: Article

3 Citazioni (Scopus)

Abstract

The classification of raw data often involves the problem of selecting the appropriate set of features to represent the input data. Different types of features can be extracted from the input dataset, but only some of them are actually relevant for the classification process. Since relevant features are often unknown in real-world problems, many candidate features are usually introduced. This degrades both the speed and the predictive accuracy of the classifier due to the presence of redundancy in the set of candidate features. Recently, a special class of bidimensional motifs, i.e. 2D motif basis has been introduced in the literature. 2D motif basis showed to be powerful in capturing the relevant information of digital images, also achieving good performances for image compression. Here, we investigate the effectiveness of 2D motif basis, when they are used as features for image classification. We embed such features in a bag-of-words model, and then we apply KNearest Neighbour for the classification step. Results obtained on both benchmark image datasets and video frames datasets show that, despite the pixel-level nature of the considered features, the achieved accuracy is high and comparable with that of other techniques proposed in the literature.
Lingua originaleEnglish
pagine (da-a)1096-1109
Numero di pagine14
RivistaDefault journal
Volume60
Stato di pubblicazionePublished - 2017

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Image classification
Image compression
Redundancy
Classifiers
Pixels

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cita questo

Rombo, S. E., Groccia, M. C., Furfaro, A., & Furfaro, A. (2017). 2D motif basis applied to the classification of digital images. Default journal, 60, 1096-1109.

2D motif basis applied to the classification of digital images. / Rombo, Simona Ester; Groccia, Maria Carmela; Furfaro, Angelo; Furfaro, Angelo.

In: Default journal, Vol. 60, 2017, pag. 1096-1109.

Risultato della ricerca: Article

Rombo, SE, Groccia, MC, Furfaro, A & Furfaro, A 2017, '2D motif basis applied to the classification of digital images', Default journal, vol. 60, pagg. 1096-1109.
Rombo SE, Groccia MC, Furfaro A, Furfaro A. 2D motif basis applied to the classification of digital images. Default journal. 2017;60:1096-1109.
Rombo, Simona Ester ; Groccia, Maria Carmela ; Furfaro, Angelo ; Furfaro, Angelo. / 2D motif basis applied to the classification of digital images. In: Default journal. 2017 ; Vol. 60. pagg. 1096-1109.
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