The week's pick
Reseach Article
A survey on Content based Image Retrieval using Vector Quantization
| International Conference on Recent Trends in Engineering and Technology 2013 |
| Foundation of Computer Science USA |
| ICRTET - Number 4 |
| May 2013 |
| Authors: Prerana Karnik, Nitin Shahane |
| 10f97f97-3276-4253-99d9-1fccb990e866 |
Prerana Karnik, Nitin Shahane . A survey on Content based Image Retrieval using Vector Quantization. International Conference on Recent Trends in Engineering and Technology 2013. ICRTET, 4 (May 2013), 18-22.
Abstract
Image retrieval and image compression are active field of research. But rare advances have been made to consider these both problems simultaneously. In this paper we present a survey on content based image retrieval based on vector quantization. Vector Quantization (VQ) is a technique usually used for data compression. But VQ is used as a feature descriptor for retrieving images. By harnessing the characteristics of VQ the retrieval technique can capture the spatial relationship among pixels. We discuss here several ways in which VQ has been used for content based image retrieval in the past.
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