Multiresolution image retrieval using B-splines

Mitchell D. Swanson; Ahmed H. Tewfik

doi:10.1117/12.290358

6 October 1997 Multiresolution image retrieval using B-splines

Mitchell D. Swanson, Ahmed H. Tewfik

Proceedings Volume 3229, Multimedia Storage and Archiving Systems II; (1997) https://doi.org/10.1117/12.290358
Event: Voice, Video, and Data Communications, 1997, Dallas, TX, United States

Abstract

We propose a technique to search through large image collections. Each database image is stored as a combination of potential query terms and non-query terms. The query terms are represented by affine-invariant B-spline moments and wavelet transform subbands. The dual representation supports a two-stage image retrieval system. A user-posed query is first mapped to a dictionary of prototype object contours represented by B-spline moments. The B-spline mapping reduces the query search space to a subset of the original database. Furthermore, it provides an estimate of the affine transformation between the query and the prototypes. The second stage consist of a set of embedded VQ dictionaries of multiresolution subbands of image objects. The estimated affine transformation is employed as a correction factor for the multiresolution VQ mapping. A simple bit string matching algorithm compares the resulting query VQ codewords with the codewords of the database images for retrieval.

Citation Download Citation

Mitchell D. Swanson and Ahmed H. Tewfik "Multiresolution image retrieval using B-splines", Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); https://doi.org/10.1117/12.290358

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