Belhalloche,L., Belloulata,K., Kpalma,K.
Abstract:
In this paper, we present a novel approach for light field retrieval in the compressed domain. The light field data set is characterized with low wavelet transform coefficients. Our algorithm first applies a wavelet transform on 20 key images of the light field structure. The low wavelet transform coefficients are then quadtree decomposed, into a set of homogeneous blocks. Each set of homogeneous blocks represent an object in the consider image. We use texture and color features to characterize the object image; the similarity is measured by matching histograms of a pair of images. The experimental results and comparisons show the performance of the proposed technique.