Query by example using invariant features from the double dyadic dual-tree complex wavelet transform

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Query by example using invariant features from the double dyadic dual-tree complex wavelet transform

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Conference On Image And Video Retrieval archive
Proceeding of the ACM International Conference on Image and Video Retrieval table of contents

Santorini, Fira, Greece

SESSION: Oral session: interactive systems: retrieval and browsing table of contents

Article No.: 5

Year of Publication: 2009

ISBN:978-1-60558-480-5

Authors

Edward H. S. Lo	University College, The University of New South Wales, Canberra, Australia
Mark R. Pickering	University College, The University of New South Wales, Canberra, Australia
Michael R. Frater	University College, The University of New South Wales, Canberra, Australia
John F. Arnold	University College, The University of New South Wales, Canberra, Australia

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ACM New York, NY, USA

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ABSTRACT

Widespread use of digital imagery has resulted in a need to manage large collections of images. Systems providing query by example (QBE) capability offer improved access to contents of image libraries by retrieving matches to a query image. Texture is an important feature to consider in the matching process. However, standard approaches often employ a texture feature that is scale and rotation specific, and may not perform well in libraries containing images with scaled or rotated matches to the target query. A novel approach for generating scale and rotation invariant texture features from an extension of the Dual-Tree Complex Wavelet Transform (DT-CWT) is presented herein for use in region-based QBE. An experimental comparison reveals an improved ability of the new technique in retrieving relevant images over the standard approach.

REFERENCES

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