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Scene Categorization with Spectral Features

Khan, Salman Hameed; Hayat, Munawar; Porikli, Fatih


Spectral signatures of natural scenes were earlier found to be distinctive for different scene types with varying spatial envelope properties such as openness, naturalness, ruggedness, and symmetry. Recently, such handcrafted features have been outclassed by deep learning based representations. This paper proposes a novel spectral description of convolution features, implemented efficiently as a unitary transformation within deep network architectures. To the best of our knowledge, this is the...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Conference paper
Source: Proceedings of the IEEE International Conference on Computer Vision
DOI: 10.1109/ICCV.2017.601


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