The DILIGENT team used the EGEE computing Grid to process 37 million images from the online Flickr database in just 16 weeks. This computation generated approximately 112 million text and image objects—nearly 5 TB of data—containing more than 150 million extracted features. This is equivalent to an average processing capacity of over 300,000 images per day.
This unique collection will be used by the SAPIR project to develop new large-scale content-based data retrieval and automatic data classification techniques that combine both text and image content, expanding the limits of conventional search engines, which can only search text associated to images and audio-visual content.
The computational load required to generate this massive data collection was outsourced to DILIGENT, and then delegated to the EGEE Pre-Production Service (PPS) Grid infrastructure via the gLite middleware. A total of 44,333 gLite jobs were successfully executed by the EGEE PPS infrastructure resource broker. Each job processed approximately 1000 images.
The data challenge lasted for 116 days, from 16 June to 9 October 2007, and was organized in three different phases. During the initial preparation phase experimental jobs were submitted to some EGEE PPS sites to test the feature extraction application and optimize the number of images to process per day.
The next two phases involved actual execution of the data challenge, exploiting ten EGEE PPS sites that contributed their computational resources: University of Athens, Scuola Normale Superiore, ISTI-CNR, LIP, ESA-ESRIN, CERN, CESGA, University of Macedonia, Ben Gurion University, and CYFRONET. Four of these sites are maintained by DILIGENT partners.
NIST's antenna evaluation method could help boost 5G network capacity and cut costs
11.12.2018 | National Institute of Standards and Technology (NIST)
ETRI exchanged quantum information on daylight in a free-space quantum key distribution
10.12.2018 | National Research Council of Science & Technology
Over the last decade, there has been much excitement about the discovery, recognised by the Nobel Prize in Physics only two years ago, that there are two types...
What if a sensor sensing a thing could be part of the thing itself? Rice University engineers believe they have a two-dimensional solution to do just that.
Rice engineers led by materials scientists Pulickel Ajayan and Jun Lou have developed a method to make atom-flat sensors that seamlessly integrate with devices...
Scientists at the University of Stuttgart and the Karlsruhe Institute of Technology (KIT) succeed in important further development on the way to quantum Computers.
Quantum computers one day should be able to solve certain computing problems much faster than a classical computer. One of the most promising approaches is...
New Project SNAPSTER: Novel luminescent materials by encapsulating phosphorescent metal clusters with organic liquid crystals
Nowadays energy conversion in lighting and optoelectronic devices requires the use of rare earth oxides.
Scientists have discovered the first synthetic material that becomes thicker - at the molecular level - as it is stretched.
Researchers led by Dr Devesh Mistry from the University of Leeds discovered a new non-porous material that has unique and inherent "auxetic" stretching...
10.12.2018 | Event News
06.12.2018 | Event News
03.12.2018 | Event News
11.12.2018 | Physics and Astronomy
11.12.2018 | Materials Sciences
11.12.2018 | Information Technology