Istituto di Scienza e Tecnologie dell'Informazione     
Gennaro C., Amato G., Bolettieri P., Savino P. An approach to content-based image retrieval based on the Lucene search engine library (Extended Abstract). In: SEBD 2011 - Nineteenth Italian Symposium on Advanced Database Systems (Maratea, Italy, 26-29 June 2011). Atti, pp. 333 - 340. Giansalvatore Mecca, Sergio Greco (eds.). Universitą della Basilicata, Dipartimento di Matematica e Informatica, 2011.
Content-based image retrieval is becoming a popular way for searching digital content as the amount of available multimedia data increases. However, the cost of developing from scratch a robust and reliable system with content-based image retrieval facilities for large databases is quite prohibitive. In this paper, we propose to exploit an approach to perform approximate similarity search that is based on the observation that when two objects are very close one to each other they see the world around them in the same way. Accordingly, we can use a measure of dissimilarity between the views of the world at diļ¬€erent objects, in place of the distance function of the underlying metric space. To employ this idea the low level image features (such as colors and textures) are converted into a textual form and are indexed into the inverted index by means of the Lucene search engine library. The conversion of the features in textual form allows us to employ the Lucenes oļ¬€-the-shelf indexing and searching abilities with a little implementation eļ¬€ort. In this way, we are able to set up a robust information retrieval system that combines full-text search with content based image retrieval capabilities.
URL: http://db.unibas.it/SEBD2011/documents/SEBD2011-Proceedings.pdf
Subject Similarity search
Access methods
H.3.3 Information Search and Retrieval

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