Content-based image retrieval using multiresolution histogram representation

Asha Vellaikal; C.-C. Jay Kuo

doi:10.1117/12.227254

21 November 1995 Content-based image retrieval using multiresolution histogram representation

Asha Vellaikal, C.-C. Jay Kuo

Proceedings Volume 2606, Digital Image Storage and Archiving Systems; (1995) https://doi.org/10.1117/12.227254
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

We present two new approaches based on color histogram indexing for content-based retrieval of image databases. Since the high computational complexity has been one of the main barriers towards the use of similarity measures such as histogram intersection in large databases, we propose a hierarchical indexing scheme where computationally efficient features are used to subset the image before more sophisticated techniques are applied for precise retrieval. The use of histograms at different color resolutions as filtering and matching features in a hierarchical scheme is studied. In the second approach, a multiresolution representation of the histogram using the indices and signs of its largest wavelet coefficients is examined. Excellent results have been observed using the latter method.

Citation Download Citation

Asha Vellaikal and C.-C. Jay Kuo "Content-based image retrieval using multiresolution histogram representation", Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); https://doi.org/10.1117/12.227254

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