2016
Conference article
Open Access
Indexing 100M images with deep features and MI-File
Amato G, Falchi F, Gennaro C, Rabitti F.
Image retrieval Similarity search
In the context of the Multimedia Commons initiative, we extracted and indexed deep features of about 100M images uploaded on Flickr between 2004 and 2014 and published under a Creative Commons commercial or noncommercial license. The extracted features and an online demo built using the MI-File approximated data structure are both publicly available. The online CBIR system demonstrates the effectiveness of the deep features and the efficiency of the indexing approach.
Source: Italian Information Retrieval Workshop, Venezia, Italy, 30-31 May 2016
Publisher: CEUR-WS.org, Aachen, DEU
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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:378910,
title = {Indexing 100M images with deep features and MI-File},
author = {Amato G and Falchi F and Gennaro C and Rabitti F.},
publisher = {CEUR-WS.org, Aachen, DEU},
booktitle = {Italian Information Retrieval Workshop, Venezia, Italy, 30-31 May 2016},
year = {2016}
}
0000-0003-0171-4315