Scene classification for weak devices using spatial oriented gradient indexing

Minh Tung Phung; Trung Hieu Tu

doi:10.1117/12.2266134

8 February 2017 Scene classification for weak devices using spatial oriented gradient indexing

Minh Tung Phung, Trung Hieu Tu

Proceedings Volume 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016); 1022520 (2017) https://doi.org/10.1117/12.2266134
Event: Eighth International Conference on Graphic and Image Processing, 2016, Tokyo, Japan

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.

Citation Download Citation

Minh Tung Phung and Trung Hieu Tu "Scene classification for weak devices using spatial oriented gradient indexing", Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 1022520 (8 February 2017); https://doi.org/10.1117/12.2266134

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