An Evaluation of the Robustness of Image Retrieval Based on Vector Quantization

Authors:
Shyhwei Teng;Guojun Lu
Affiliations:
-;-
Venue:
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2001

Citing 2
Cited 2

Color indexing

International Journal of Computer Vision
Introduction to Modern Information Retrieval

Introduction to Modern Information Retrieval

Effects of Codebook Sizes, Codeword Dimensions, and Colour Spaces on Retrieval Performance of Image Retrieval Using Vector Quantization

PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Image indexing and retrieval based on vector quantization

Pattern Recognition

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Abstract

Image retrieval based on vector quantization (VQ) is a content-based image retrieval that we have proposed recently. However, it is noted that a potential problem of the proposed method is that it may be not robust in the sense that its performance may be sensitive to small changes in images. This paper investigates if this is a problem in practical image retrieval systems. Our experimental results and analysis show that image retrieval based on VQ is robust.