Image retrieval using efficient feature vectors generated from compressed domain

We consider the use of quantized block transform coefficients to the image database retrieval problem. Based on the transform coefficients feature vectors are constructed. These feature vectors are used in histograms and combination of histograms with similarity measure for database retrieval. Experiments on public face image database show good performance of the approach in comparison with other methods.