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Content exploitation: men and machines DG Connect -Unit G1 – Converging Media and Content Bruxelles, June 16 2014 Piero Fraternali, Politecnico di Milano [email protected]

Fraternali concertation june25bruxelles

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Page 1: Fraternali concertation june25bruxelles

Content exploitation: men and machines

DG Connect -Unit G1 – Converging Media and ContentBruxelles, June 16 2014

Piero Fraternali, Politecnico di [email protected]

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What content?

Corporate content• Google is indexing the earth

User generated content• Video IP traffic will be 73% of all

Internet traffic by 2017. The sum of all forms of video (TV, VoD, Internet, and P2P) ~ 80-90% [Cisco, 2013]

• 250+ billion photos uploaded and 350+ million photos uploaded every day [Facebook, 2013]

• “Big data” is (mostly) visual data

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How to exploit UGC

So many applications But .. so much garbage

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The human computation trust circle

people

data

Passive crowdsourcingActive crowdsourcingCrowdsourcing optimizationIncentivesTrust computingAdversarial computing

Provenance trackingTampering detectionUncertainty modeling and reductionSemantic enrichment

algorithmsReliabilityOptimizationPredictive modelingQuality guarantee

FOCUS HERE

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Example: incentives

• Problem: identify 10 balloons anchored in 10 undisclosed locations in the US, $ 40,000 prize to the winner

• Solution in less than 9 hours

• Recursive incentive mechanism (Nash equilibrium)

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Another (different) incentive scheme

• Complex content (3d with constraints)

• Computationally intractable

• Solved with Tetris-like game

• Massive voluntary online collaboration, community quality monitoring

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How to compute people Influence & Trust

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How to fight adversariesGoal• Obtain quality content with

minimum amount of human and computational resources

• Algorithm can fail• But humans can cheat!

Object detection example

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In summary

• Exploiting content requires .. good content• Computers and humans can cooperate in new ways

– More than algorithm optimization– More than crowdsourcing

• Old problem, but at a new scale– "On two occasions I have been asked,

"Pray, Mr. Babbage, if you put into the machine wrong figures, will the right answers come out?"... I am not able rightly to apprehend the kind of confusion of ideas that could provoke such a question."

– Charles Babbage, Passages from the Life of a Philosopher (1864)