On top of this core mechanism, we will then be able to build client interfaces and servers that are transparently exchangable between our two groups. The document describing the protocol is still a draft, but will soon be available through this page. Further we investigate a way of quantifying the goodness of a given set of image descriptors, which can be used for deciding which ones to use, based on relevance feedback for instance. We also give some additional ideas on relevance feedback and some performance results. There is a high demand for effective and precise tools for users to search, browse, and interact with image databases and do so in a timely manner.
Feature extraction is a crucial part for any such retrieval systems.
On the other hand, wavelets has been shown to be a powerful and efficient mathematical tool to process visual information at multiple scales. Some recent image retrieval systems use spatial information and visual features represented by dominant wavelet coefficients. In addition, the underlying multiresolution mechanism of the wavelet decomposition allows the retrieval process to be done progressively . In this work, to cure the plague problem of translation variance with wavelet basis transform while keeping a compact representation, the wavelet transform modulus maxima is employed. Wavelet maxima has been shown to be very effective in characterization of images from multiscale edges.