Research: “Quality Assurance for Digital Book Collections” (Automated Identification)
From the Open Planets Foundation Blog:
Automated identification of corresponding images and duplicate removal is a challenging task due to inconsistent quality of digitized book collections. Validating such collections based on qualitative criteria is a challenging endeavor according to the sheer amount of data that has to be processed. Traditional approaches seem to have peaked at a certain level. Scientists at the Austrian Institute of Technology developed a generalized method providing detailed comparison of corresponding images even on historical or handwritten texts.
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About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.