Multi-scale sub-image search

If an image should be retrieved by its subregions from a large image database, an immense number of possible queries will appear. Therefore, the index which encodes the spatial information of an image, should make only few assumptions about possible queries. In addition, this index has to consider di erent scales of objects in the image. In this paper, we propose a novel approach using a hierarchical index encoding image regions, gained by a xed partition. The suggested index uses color features and is easy to implement. The index is tested on a database with more than 12,000 images.

• Type: Conference
• Year: 1999
• Where: MM
• Authors: Nicu Sebe, Michael S. Lew, Dionysius P. Huijsmans
• Keywords: Index Encoding Image, Large Image Database, MM 1999, Multimedia, Possible Queries