Constrained-storage multistage vector quantization based on genetic algorithms
Pattern Recognition
Content-based image retrieval by hierarchical linear subspace method
Journal of Intelligent Information Systems
Partial image retrieval system using sub tree matching
ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
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We propose a new method for quick and accurate partial image retrieval from a huge number of images based on a prede ned distance measure. The proposed method utilizes vector quantization (VQ) on multiple layers, namely color, block, and feature layers. This can greatly reduce the amount of calculation needed for partial image retrieval. Experiments indicate that the proposed method can detect partial images that are similar to queries through 1000 images within 4 seconds. This is approximately 30 times faster than the method to which multistage VQ is not applied.