Content-based image retrieval using positive and negative...

Details Content-based image retrieval using positive and negative... Content-based image retrieval using positive and negative...

G - Physics

06

F

G06F 17/30 (2006.01) G06T 7/00 (2006.01) H04L 12/16 (2006.01)

Patent

CA 2397424

Although negative example can be highly useful to better understand the user's' needs in content-based image retrieval, it was considered by few authors. We address some issues related to the combination of positive and negative examples to perform a more efficient image retrieval. A relevance feedback approach that uses positive example to perform generalization and negative example to perform specialization is described herein. In this approach, a query containing both positive and negative example is processed in two steps. The first step considers positive example only in order to reduces the set of images participating in retrieval to a more homogeneous subset. Then, the second step considers both positive and negative examples and acts on the images retained in the first step. Mathematically, relevance feedback is formulated as an optimization of intra and inter variances of positive and negative examples.

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