Multiresolution image indexing based on embedded zerotree wavelet coding

The application of images and video has increased significantly. Hence, it is crucial to develop indexing techniques for searching images and video based on their content. Several indexing techniques have been proposed in both pixel and compressed domain. Due to the large size of multimedia databases, the computational complexity of pixel domain indexing techniques is generally large. Therefore, it is advantageous to develop indexing techniques in the compressed domain, which generally provide faster retrieval. In this paper, we propose a wavelet-based histogram technique for image indexing. Here, the histogram of significant wavelet coefficients of a specified resolution is used as the image index. Image retrieval is performed by matching the index of the query and candidate images from the database. Experimental results indicate a good indexing and retrieval performance of the proposed technique