Image Retrieval Based on Semi-Supervised Orthogonal Discriminant Embedding

Chuan Bo Huang; Li Xiang

doi:10.4028/www.scientific.net/AMM.347-350.3532

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Image Retrieval Based on Semi-Supervised...

Image Retrieval Based on Semi-Supervised Orthogonal Discriminant Embedding

Abstract:

An retrieval algorithm based on dimensionality reduction is proposed to effectively extract the features to improve the performance of image retrieval. Firstly, the most important properties of the subspaces with respect to image retrieval is captured by intelligently utilizing the similarity and dissimilarity information of semantic and geometric structure in image database. Secondly, We propose Semi-supervised Orthogonal Discriminant Embedding Label Propagation method (SODELP) for image retrieval. The experimental results show that our method has the discrimination power against colour, texture and shape features and has good retrieval performance.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

3532-3536

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.3532

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Online since:

August 2013

Authors:

Chuan Bo Huang, Li Xiang

Keywords:

Image Retrieval, Local Label Propagation, Orthogonal Discriminant Embed

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