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IMAGE DIVERSITY ANALYSIS:CONTEXT, OPINION AND BIAS
P. Zontone, G. Boato, F. G. B. De NataleA. De Rosa, M. Barni, A. Piva
J. S. Hare, D. Dupplaw, P. H. Lewis
Pure Visual DiversificationIAM@ImageCLEFphoto 2009 - results of a search for ‘euro’
without visual features
with visual features
✸
Image distribution in feature-space
Iterative re-ranking procedure by
maximising distance in feature-space
Input from text
search
Re-ranked
output
DBPedia
Triple-Store
Yahoo
Wikipedia
Search Index
Yahoo Image
Search Index
DBPedia
SPARQL
Endpoint
Yahoo BOSS Web Service
Diversity Enabled Image Search Engine
Query Specification
Subject ContextDiversity
Axis
Search for
Wikipedia Page
about Subject
Get DBPedia URI
for Subject
Search DBPedia
for Resources
and Literals that
link the Diversity
Specification with
the Subject URI
Generate a list of queries, by combining
subject, context and resource names/literal
text. Use "dbprop:redirect of" to provide query
expansion for resources.
Search for images using the generated queries
Organise and present results
Response
Anger
Amusement
Awe
Contentment
Disgust
Excitement
Fear
Sadness
Undifferentiated -ve
Undifferentiated +ve
IAPS: International Affective Picture System
Bri$sh
Na$onalParty
sameas
leader
Nick
Griffin
name
ideology posi$on
White
Na$onalismFascism
Far‐right
Summary
Images play an important role in the communication process.
There are many forms of diversity; it is possible to automatically extract, analyse & harness some of these in
the context of images.
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