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

Authors:
Edward H. S. Lo;Mark R. Pickering;Michael R. Frater;John F. Arnold
Affiliations:
University College, The University of New South Wales, Canberra, Australia;University College, The University of New South Wales, Canberra, Australia;University College, The University of New South Wales, Canberra, Australia;University College, The University of New South Wales, Canberra, Australia
Venue:
Proceedings of the ACM International Conference on Image and Video Retrieval
Year:
2009

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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.