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The vector-space retrieval model and Latent Semantic Indexing approaches to retrieval have been used heavily in the field of text information retrieval over the past years. The use of these approaches in image retrieval, however, has been somewhat limited. In this paper, we present methods for using these techniques in combination with an invariant image representation based on local descriptors of salient regions. The paper also presents an evaluation in which the two techniques are used to find images with similar semantic labels.

On Image Retrieval Using Salient Regions with Vector-Spaces and Latent Semantics