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Indexing 100M images with deep features and MI-File

Conference Paper
Publication Date:
2016
abstract:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Image retrieval; Similarity search
List of contributors:
Falchi, Fabrizio; Amato, Giuseppe; Gennaro, Claudio; Rabitti, Fausto
Authors of the University:
AMATO GIUSEPPE
FALCHI FABRIZIO
GENNARO CLAUDIO
Handle:
https://iris.cnr.it/handle/20.500.14243/337476
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/337476/175168/prod_378910-doc_128258.pdf
Published in:
CEUR WORKSHOP PROCEEDINGS
Series
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Overview

URL

http://ceur-ws.org/Vol-1653/
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