A CORTICAL FRAMEWORK FOR SCENE CATEGORISATION

J. M. F. Rodrigues, J. M. H. du Buf

2011

Abstract

Human observers can very rapidly and accurately categorise scenes. This is context or gist vision. In this paper we present a biologically plausible scheme for gist vision which can be integrated into a complete cortical vision architecture. The model is strictly bottom-up, employing state-of-the-art models for feature extractions. It combines five cortical feature sets: multiscale lines and edges and their dominant orientations, the density of multiscale keypoints, the number of consistent multiscale regions, dominant colours in the double-opponent colour channels, and significant saliency in covert attention regions. These feature sets are processed in a hierarchical set of layers with grouping cells, which serve to characterise five image regions: left, right, top, bottom and centre. Final scene classification is obtained by a trained decision tree.

Paper Citation

in Harvard Style

M. F. Rodrigues J. and M. H. du Buf J. (2011). A CORTICAL FRAMEWORK FOR SCENE CATEGORISATION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 364-371. DOI: 10.5220/0003368603640371

in Bibtex Style

@conference{visapp11,
author={J. M. F. Rodrigues and J. M. H. du Buf},
title={A CORTICAL FRAMEWORK FOR SCENE CATEGORISATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={364-371},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003368603640371},
isbn={978-989-8425-47-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - A CORTICAL FRAMEWORK FOR SCENE CATEGORISATION
SN - 978-989-8425-47-8
AU - M. F. Rodrigues J.
AU - M. H. du Buf J.
PY - 2011
SP - 364
EP - 371
DO - 10.5220/0003368603640371