Image retrieval based on relevance feedback

Details Image retrieval based on relevance feedback Image retrieval based on relevance feedback

2005-02-22

2005-02-22

Metjahic, Safet (Department: 2161)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000, C707S793000

Reexamination Certificate

active

06859802

ABSTRACT:
An improved image retrieval process based on relevance feedback uses a hierarchical (per-feature) approach in comparing images. Multiple query vectors are generated for an initial image by extracting multiple low-level features from the initial image. When determining how closely a particular image in an image collection matches the initial image, a distance is calculated between the query vectors and corresponding low-level feature vectors extracted from the particular image. Once these individual distances are calculated, they are combined to generate an overall distance that represents how closely the two images match. According to other aspects, relevancy feedback received regarding previously retrieved images is used during the query vector generation and the distance determination to influence which images are subsequently retrieved.

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Rui, Yong, Effiicient Indexing, Browsing and Retrieval of Image/Video Content, PhD Thesis, University of Illinois at Urbaba-Champaign, 1998.

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