Similarity search technique has been proved to be an effective way for retrieving multimedia content. However, as the amount of available multimedia data increases, the cost of developing from scratch a robust and scalable system with content-based image retrieval facilities is quite prohibitive. In this paper, we propose to exploit an approach that allows us to convert low level features into a textual form. In this way, we are able to easily set up a retrieval system on top of the Lucene search engine library that combines full-text search with approximate similarity search capabilities. © 2013 Springer-Verlag.
CITATION STYLE
Amato, G., Bolettieri, P., Gennaro, C., & Rabitti, F. (2013). Quick and easy implementation of approximate similarity search with Lucene. In Communications in Computer and Information Science (Vol. 354 CCIS, pp. 163–171). Springer Verlag. https://doi.org/10.1007/978-3-642-35834-0_17
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