Global Image Search vs. Regional Search in CBIR Systems

The global image search and regional image search are compared by using content-based image retrieval system with user relevance feedback. It was expectable that regional search can minimize the effect of the background to the image retrieval. Images from database are partitioned into regular rectangular regions: 4times4 non-overlapped (NOV) regions and 3times3 overlapped (OV) regions, and a feature vectors are determined for whole images and for regions. Four CBIR scenarios are considered: global search, search based on 4times4 NOV regions, based on 3times3 OV regions and based on arbitrary cropped part of a query image. System is tested over images from Corel IK dataset.