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Image search / Artificial intelligence applications / Content-based image retrieval / Image retrieval / Relevance / Search engine indexing / Search engine / Recall / Semantic gap / Information science / Information retrieval / Science


COMPUTING PRACTICES From Pixels to Semantic
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Document Date: 2007-07-24 16:32:12


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Company

Statistical Visual Computing Laboratory / ACM Press / Google / IEEE CS Press / UCSD’s Statistical Visual Computing Laboratory / NetRatings / /

Currency

USD / /

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Facility

Statistical Visual Computing Laboratory / Nuno Vasconcelos University of California / Massachusetts Institute of Technology / University of California / /

IndustryTerm

ultimate solution / early retrieval systems / possible solution / image search engines / search engines / relevance feedback algorithms / image/video search offsprings / image-processing techniques / semantic labeling systems / Web brands / digital imaging / media arts / image search / early solutions / broadband networking / poor imaging / statistical signal processing / retrieval systems / /

Organization

Department of Electrical and Computer Engineering / National Science Foundation / Massachusetts Institute of Technology / NIPS Foundation / IEEE Computer Society / University of California / San Diego / Pattern Analysis and Machine Intelligence / UCSD / /

Person

Michael Swain / Nikhil Rasiawia / Antoni Chan / Victor Lavrenko / Yasuhide Mori / Pedro Moreno / Dana Ballard / Jing Huang / Gustavo Carneiro / Andrew Lippman / Jiwoon Jeon / Raghavan Manmatha / Nuno Vasconcelos / Manuela Vasconcelos / /

Position

Model / continuous-space relevance model of Victor Lavrenko / model for the associated visual concept / assistant professor / probabilistic model for each concept / member / /

ProvinceOrState

California / Massachusetts / /

Technology

broadband / relevance feedback algorithms / Machine Translation / digital imaging / machine learning / pdf / /

URL

http /

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