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Content-based image retrieval / Image retrieval / Document retrieval / Relevance / Latent semantic indexing / Precision and recall / Latent semantic analysis / Search engine indexing / Information science / Information retrieval / Science


Semantic Illustration Retrieval for Very Large Data Set Song Kai1 , Huang Tie-Jun2 , Tian Yong-Hong1 1 Digital Media Lab, Institute of Computing Technology, Chinese Academy of Sciences Beijing, 100080, P. R. China
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Document Date: 2012-05-07 11:46:27

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Company

V AB / LSI / Intelligent Information Systems / FV AB / /

Country

United States / China / /

Currency

pence / /

Event

Product Recall / Extinction / Product Issues / /

Facility

Institute of Computing Technology / University SCIENCE / Peking University / ChinaAmerican Digital Academic Library / /

IndustryTerm

text-based illustration retrieval systems / text-based Web document retrieval using visual features / data mining / text-based retrieval systems / above algorithm / search results / penalty algorithm / retrieval systems / /

MarketIndex

COMPARISON OF / /

Organization

Institute for Digital Media / Zhejiang University / American Society / Digital Media Lab / Institute of Computing Technology / Chinese Academy of Sciences Beijing / Cross-modal Association / Peking University Beijing / /

Person

Note / Marco La Casica / Hu / /

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Position

G.P. / Cao / General / semantic model for illustration retrieval / Illustrator / /

Product

A. Relevance The / /

ProgrammingLanguage

HTML / /

ProvinceOrState

South Dakota / Zhejiang / California / /

PublishedMedium

Machine Learning / /

Technology

above algorithm / Neural Network / penalty algorithm / data mining / Machine Learning / HTML / /

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