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Snap n’ Shop: Visual Search-Based Mobile Shopping Made a Breeze by Machine and Crowd Intelligence Quanzeng You∗ , Jianbo Yuan∗ , Jiaqi Wang† , Philip Guo∗ and Jiebo Luo∗ ∗ Department
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Document Date: 2015-03-11 13:17:06


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File Size: 820,35 KB

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City

New York / Berlin / /

Company

Bing / Amazon / Ebay / Amazon Mechanical Turk / Baidu Image Search / Twitter / Facebook / Google Image Search / Computer Vision Systems / Image Searcher Inc. / Multimedia Systems / /

Country

United States / /

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Event

Product Release / /

Facility

C. Knowledge Warehouse Knowledge warehouse / University of Rochester / Extracted Foreground Object Knowledge Warehouse / Knowledge Warehouse / /

IndustryTerm

mobile visual search system / search platform / search experience / superpixel segmentation algorithm / visual search system / mobile visual search data / mobile location search system / https /

OperatingSystem

Android / /

Organization

University of Rochester / Rochester / Knowledge Warehouse and Crowd Intelligence / Analysis and Machine Intelligence / Department of Electrical and Computer Engineering / Department of Computer Science / Crowd Intelligence / US Federal Reserve / /

Person

D. Chen / V / B. Girod / V / Jiaqi Wang / Jianbo Yuan / Philip Guo / /

Product

Google Goggles / /

ProgrammingLanguage

Java / /

ProvinceOrState

New York / /

PublishedMedium

ACM Transactions on Multimedia Computing / Communications / and Applications / ACM Transactions on Graphics / /

Technology

virtual machine / mpeg / superpixel segmentation algorithm / lazy snapping algorithm / search engine / machine learning / newly developed algorithms / Android / mobile device / result processor / result processors / Java / smartphones / HTTP / corresponding request processor / superpixel algorithm / web server / /

URL

http /

SocialTag