Using a bipartite graph to model and derive image and text...

Data processing: database and file management or data structures – Database and file access – Record – file – and data search and comparisons

Reexamination Certificate

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Reexamination Certificate

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08001139

ABSTRACT:
A method for deriving probabilistic association scores based on image content is provided. A bipartite graph is constructed based on a database of image content and associated textual content. One partition of the bipartite graph contains image content and the other partition of the bipartite graph contains textual content. Weighted edges between nodes in the two partitions represent associations between the image content and textual content in the database. Random walks on the bipartite graph are performed to derive probabilistic association scores between image content and textual content. Association scores are used to automatically annotate images and detect spurious image tags.

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“Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority, or the Declaration” International application No. PCT/US2008/087150 dated Mar. 31, 2009 (4 pages).
U.S. Appl. No. 11/966,704, filed Dec. 28, 2007, Notice of Publication, Jun. 25, 2009.

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