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Lecture 9 CBIR

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Content-based Image Retrieval (CBIR) Searching a large database for images that match a query: n n n n What kinds of databases? What kinds of queries? What constitutes a match? How do we make such searches efficient? 1 Applications n n n n n Art Collections e.g. Fine Arts Museum of San Francisco Medical Image Databases CT, MRI, Ultrasound, The Visible Human Scientific Databases e.g. Earth Sciences General Image Collections for Licensing Corbis, Getty Images The World Wide Web 2 What is a query? n an image you already have n a rough sketch you draw n a symbolic description of what you want e.g. an image of a man and a woman on a beach, an image of a dad and a daughter on a beach 3 SYSTEMS 4 Some Systems You Can Try Corbis Stock Photography and Pictures http://www.corbisimages.com • Corbis sells high-quality images for use in advertising, marketing, illustrating, etc. • Search is entirely by keywords. • Human indexers look at each new image and enter keywords. • A thesaurus constructed from user queries is used. 5 QBIC IBM’s QBIC (Query by Image Content) http://www.research.ibm.com/topics/popups/deep/ manage/html/qbic.html • The first commercial system. • Uses or has-used color percentages, color layout, texture, shape, location, and keywords. 6 Informedia CMU’s informedia project http://www.informedia.cs.cmu.edu/ • Started in 1994 and active till 2007 • The largest academia research project on i ...
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