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Indexing for complex queries on a query-by-content image database

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6 Author(s)
Lee, D. ; IBM Almaden Res. Center, San Jose, CA, USA ; Barber, R. ; Niblack, W. ; Flickner, M.
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We describe how the QBIC (Query By Image Content) system handles “multi-*” queries-queries on large image collections involving multifeatures of each image as a whole and of multiple objects within each image. The queries are based on properties of image content-such as colors, textures, shapes, and edges. The system computes a set of features to describe the above properties, uses distance-like measures on the features to provide similarity based retrieval, and has a graphical interface that enable users pose queries visually. In this paper, we present QBIC indexing algorithms that allow these “multi-*” queries to run efficiently

Published in:

Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on  (Volume:1 )

Date of Conference:

9-13 Oct 1994

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