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Inhaltsverzeichnis
Referenz
Huang, J.H., Zia, A., Zhou, J. and Robles-Kelly, A. (2008): Content-based image retrieval via subspace-projected salient features. Paper presented at the Digital Image Computing Techniques and Applications, Canberra, Australia.
DOI
http://dx.doi.org/10.1109/DICTA.2008.29
Abstract
In this paper we present a novel image representation method which treats images as frequency histograms of salient features. The histograms are computed making use of linear discriminant analysis (LDA). The method employs saliency feature extraction and image binarisation. Then subspace-projected features are extracted. Using the saliency maps as the positive and negative labels, the image features are mapped onto a lower-dimensional space using LDA. This enables us to construct a 3D-histogram by direct binning on the feature space. This gives rise to a "cube" of image features which have been projected onto a ower-dimensional space so as to maximise the separability of the salient regions with respect to the background. Image retrieval can be performed by computing the distances between the histograms for the query image and the images in the database. We demonstrate our algorithm on a real world database and compare our results to those yielded by codebook representation.
Extended Abstract
Bibtex
@INPROCEEDINGS{4700076,
author={J. H. Huang and A. Zia and J. Zhou and A. Robles-Kelly},
booktitle={Digital Image Computing: Techniques and Applications (DICTA), 2008},
title={Content-Based Image Retrieval via Subspace-Projected Salient Features},
year={2008},
pages={593-599},
keywords={feature extraction;image representation;image retrieval;principal component analysis;3D-histogram;content-based image retrieval;frequency histograms;image binarisation;image representation;linear discriminant analysis;real world database;saliency feature extraction;subspace-projected salient features;Content based retrieval;Feature extraction;Frequency;Histograms;Image databases;Image representation;Image retrieval;Information retrieval;Linear discriminant analysis;Spatial databases;LDA;feature extraction;frequency histogram;image retrieval;saliency;subspace projection},
doi={10.1109/DICTA.2008.29},
url={http://dx.doi.org/10.1109/DICTA.2008.29 http://de.evo-art.org/index.php?title=Content-based_image_retrieval_via_subspace-projected_salient_features },
month={Dec},
}
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