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Proceedings Paper

Scene classification for weak devices using spatial oriented gradient indexing
Author(s): Minh Tung Phung; Trung Hieu Tu
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Paper Abstract

We propose a novel lightweight method for classifying scene images, which fits well on weak machines, mobiles, or embedded devices. Our feature representation technique, which we call SOGI or Spatial Oriented Gradient Indexing, requires a small amount both of computational time and space. We show that, by capturing the spatial co-occurrence of gradient pairs, we provide sufficient amount of information for scene classification task. Despise the simplicity, experimental result shows that our method can still be comparable to other complicated methods on their own datasets.

Paper Details

Date Published: 8 February 2017
PDF: 7 pages
Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 1022520 (8 February 2017); doi: 10.1117/12.2266134
Show Author Affiliations
Minh Tung Phung, FPT Univ. (Viet Nam)
Trung Hieu Tu, FPT Univ. (Viet Nam)


Published in SPIE Proceedings Vol. 10225:
Eighth International Conference on Graphic and Image Processing (ICGIP 2016)
Yulin Wang; Tuan D. Pham; Vit Vozenilek; David Zhang; Yi Xie, Editor(s)

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