PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Batko M., Falchi F., Lucchese C., Novak D., Perego R., Rabitti F., Sedmidubsky J., Zezula P. Crawling, indexing, and similarity searching images on the Web. In: SEBD 2008 - Sixteenth Italian Symposium on Advanced Database Systems (Mondello (PA), 22-25 June 2008). Atti, pp. 382 - 389. Salvatore Gaglio, Ignazio Infantino, Domenico Sacc (eds.). Fotograf, 2008.
 
 
Abstract
(English)
In this paper, we report on our experience in building an experimental similarity search system on a test collection of more than 50 million images, to show the possibility to scale Content-based Image Retrieval (CBIR) systems towards the Web size. First, we had to tackle the non-trivial process of image crawling and descriptive feature extraction, performed by using the European EGEE computer GRID, building a test collection, the first of such scale, that will be opened to the research community for experiments and comparisons. Then, we had to develop indexing and searching mechanisms which can scale up to these volumes and answer similarity queries in real-time. The results of our experiments are very encouraging for future applications.
Subject Similarity search
Content-based image retrieval
Metric space
MPEG-7 descriptors
Peer-to-peer search network
H.3.3 Information Search and Retrieval


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