The article discusses using multiresolution histograms to recognize images and videos in visual databases. By creating histograms at different image resolutions, spatial information can be encoded, improving recognition accuracy. The researchers developed a simple matching algorithm based on these multiresolution histograms, which outperformed more complex features in terms of efficiency and robustness. This approach is fast, space-efficient, invariant to motion, and effective in noisy environments.