Upload
avis-paul
View
219
Download
2
Tags:
Embed Size (px)
Citation preview
INFORMATION EXTRACTION BY SOCIAL MEDIA ANALYSISGiuseppe Amato – ISTI-CNR (MIR-NeMIS)
What information can be extracted?
Very high value in multimedia content Security
Identify risks or provide information Quasi real-time news
Get information from people witnessing an event in real time
Marketing What are the new emerging trends?
Entertainment People spend a lot of time with on-line media. What are
they looking for? Human behaviour analysis
What do people do in this moment.
Boston bombing
Rome – Feyenoord FCsupporter riots
Security / quasi real-time news
Market trends
-Entertainment-Behaviour-Events
Challenges
Effectiveness Extract information
relevant pertinent useful
Scalability Keep track and handle a continuous flow of
media Billion images and videos
Our Skill
Multimedia information retrieval on very large scale Prototypes using 100 millions images
Similarity search on very large scale Searching by similarity on faces, images,
objects, audios, etc. Real time image matching on very
limited resources Prototypes recognizing in real-time around
1000 images on mobile phones Image content classification/recognition
Research group
Permanent Giuseppe Amato Fausto Rabitti Pasquale Savino Claudio Gennaro Fabrizio Falchi Franca Debole
Temporary Costantino
Thanos (AS) Fraco A. Cardillo
(PD) Claudio Vairo (PD) Paolo Bolettieri
(TS)
Fundings and Projects
National 210k€ (120k€ soBigData related) /year
Inter. 1380k€ (190€ soBigData related) /year
On going soBigData related projects: FP7 STREP - RUBICON (2011-2014) CIP-ICT-PSP - EAGLE (2013-2016) PON – DiCET (2013-2014) POR CREO - SECURE (2013-2014),
Research aim
Study and develop techniques to Analyze Aggregate Annotate Make searchable
user generated multimedia content available on social networks