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MULTIMEDIA GIVES US A MORE COMPLETE PICTURE OF THE WEB, BUT ALSO A MORE
COMPLETE PICTURE OF SOCIETY.
INTERLINKING CONTENT THROUGH MM FEATURES
• Detection of near-duplicates using MM analysis can interlink content across languages, domains and groups.
• Aggregating documents about the same subject/event/opinion• Finding cases where media is
used in differing contexts is also interesting.
• Exploring how different social groups talk about the same media
• Detection & recognition of people
• General object, logo, etc. detection & recognition
• Detection of locations
• Temporal detection of duplicates
MINING ENTITIES, TRENDS, TOPICS AND EVENTS
• Facial analysis of visual data
• Course-grained automatic classification (sentiment/privacy/attractiveness)
• Investigating Correlations between images and opinions mined from text
UNDERSTANDING MEANING OF
CONTENT
• Intelligently harvest data from the web and social web around specific ETOEs.
•Provide a scalable and extensible platform for analysis taking into account all modalities of data.
•Expose the results of the analysis in the form of semantic knowledge.
•Export the data in standardised formats for preservation and exchange.