A k-nearest neighbor (k-NN) query retrieves k objects from a database that are considered to be the closest to a given query point. Numerous techniques have been proposed in the p...
This paper proposes and compares two novel schemes for near duplicate image and video-shot detection. The first approach is based on global hierarchical colour histograms, using ...
Ondrej Chum, James Philbin, Michael Isard, Andrew ...
We consider the problem of wide-area large-scale text search over a peer-to-peer infrastructure. A wide-area search infrastructure with billions of documents and millions of searc...
Vijay Gopalakrishnan, Bobby Bhattacharjee, Peter J...
Libraries and other institutions are interested in providing access to scanned versions of their large collections of handwritten historical manuscripts on electronic media. Conve...
Abstract. In this paper, we present a new approach to web search personalization based on user collaboration and sharing of information about web documents. The proposed personaliz...