Adaptive wavelet lifting for image retrieval

We build a feature vector that can be used for content-based image retrieval of grayscale images of objects against a background of texture. The feature vector is based on moment invariants of detail coefficients produced by the lifting scheme. The prediction filters in this scheme are chosen adaptively: low order (small stencils) near edges and high order elsewhere. The aim is to retrieve similar images of an object irrespective of translation, rotation, reflection or resizing of the object, light conditions and the background texture. We present preliminary results.