Statistical bigram correlation model for image retrieval

Details Statistical bigram correlation model for image retrieval Statistical bigram correlation model for image retrieval

2005-02-11

2008-09-30

Truong, Cam Y (Department: 2162)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000, C707S793000

Reexamination Certificate

active

07430566

ABSTRACT:
The disclosed subject matter improves iterative results of content-based image retrieval (CBIR) using a bigram model to correlate relevance feedback. Specifically, multiple images are received responsive to multiple image search sessions. Relevance feedback is used to determine whether the received images are semantically relevant. A respective semantic correlation between each of at least one pair of the images is then estimated using respective bigram frequencies. The bigram frequencies are based on multiple search sessions in which each image of a pair of images is semantically relevant.

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