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 different scales of objects in the image. In this paper, we propose a novel approach using a hierarchical index encoding image regions, gained by a fixed 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.
Multi-Scale Sub-Image Search
Sebe, Niculae;
1999-01-01
Abstract
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 different scales of objects in the image. In this paper, we propose a novel approach using a hierarchical index encoding image regions, gained by a fixed 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.File in questo prodotto:
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