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CoPhIR (Content-based Photo Image Retrieval) Test-Collection

Other Research Product
Publication Date:
2008
abstract:
We have extracted metadata from the Flickr archive, using the EGEE European GRID, through the DILIGENT project. For each image, the standard MPEG7 image feature have been extracted. Each entry of the test-bed contains: * The link to the corresponding entry into Flickr Web site * The photo image thumbnail * An XML structure with the Flickr user information in the corresponding Flickr entry: title, location, GPS, tags, comments, etc. * An XML structure with 5 extracted standard MPEG7 image features: o Scalable Colour o Colour Structure o Colour Layout o Edge Histogram o Homogeneous Texture The data collected so far represents the world largest multimedia metadata collection that is available for research on scalable similarity search techniques. It contains 106 million images
Iris type:
05.10 Dataset
Keywords:
Content Based Image Retrieval; Image Dayabase; Image Indexing; Similarity Search; Multimedia Big Data
List of contributors:
Falchi, Fabrizio; Piccioli, Tommaso; Silvestri, Fabrizio; Lucchese, Claudio; Bolettieri, Paolo; Rabitti, Fausto; Perego, Raffaele
Authors of the University:
BOLETTIERI PAOLO
FALCHI FABRIZIO
PEREGO RAFFAELE
PICCIOLI TOMMASO
Handle:
https://iris.cnr.it/handle/20.500.14243/455796
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Overview

URL

http://cophir.isti.cnr.it/
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