tim-CrowdSearch

tim-CrowdSearch - CrowdSearch:ExploitingCrowdsforAccurate

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CrowdSearch: Exploiting Crowds for Accurate  Real-Time Image Search on Mobile Phones Ganesan Presented by Tim Calloway
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Roadmap Problem Description What is “crowdsourcing”? System Architecture The CrowdSearch Algorithms Delay Prediction Validation Prediction Experimental Evaluation Discussion/Criticism Questions
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The Perceived Problem Text-based search is easy…
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The Perceived Problem Mobile-based search will become more important in the future. More than 70% of smart phone users perform searches. Expected to be more mobile searches than non-mobile searches soon Text-based mobile searches are easy as well…
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The Perceived Problem But how does a mobile phone user search for this? No visible words/letters; too far away to know the
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The Perceived Problem Ways to find out what that building is: Ask random people on the street Travel to the building to see the address/sign Take a picture of the building with your mobile device and send to a search engine… How easy is image searching on a mobile phone though?
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The Perceived Problem Image search is a non-trivial problem – have to deal with variations in lighting, texture, image quality, etc. Even when results are returned, scrolling through
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This note was uploaded on 01/16/2012 for the course ECE 256 taught by Professor Choudhury during the Spring '11 term at Duke.

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tim-CrowdSearch - CrowdSearch:ExploitingCrowdsforAccurate

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