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

Authors:
Shyhwei Teng;Guojun Lu
Affiliations:
-;-
Venue:
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2002

Citing 8
Cited 1

Vector quantization and signal compression

Vector quantization and signal compression
Color indexing

International Journal of Computer Vision
Introduction to data compression

Introduction to data compression
Multimedia database management systems

Multimedia database management systems
Vector Quantization

Vector Quantization
Introduction to Modern Information Retrieval

Introduction to Modern Information Retrieval
An Evaluation of the Robustness of Image Retrieval Based on Vector Quantization

PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
The Colour Image Processing Handbook (Optoelectronics, Imaging and Sensing)

The Colour Image Processing Handbook (Optoelectronics, Imaging and Sensing)

Image indexing and retrieval based on vector quantization

Pattern Recognition

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Abstract

Recently, we have proposed an image indexing and retrieval technique that is based on vector quantization. We have already shown that this technique is more effective than the traditional colour-based techniques. Some factors that must be decided during the implementation of the proposed techniques are codebook size, codeword dimension and colour space. In this paper, we investigate how these factors may affect the retrieval performances of the proposed technique.