Dimensionality reduction of visual features using sparse projectors for content-based image retrieval

In web-scale image retrieval, the most effective strategy is to aggregate local descriptors into a high dimensionality signature and then reduce it to a small dimensionality. Thanks to this strategy, web-scale image databases can be represented with small index and explored using fast visual similarities. However, the computation of this index has a very… CONTINUE READING