Large-scale grid computing for content-based image retrieval

This paper presents an approach in which a large distributed processing Grid has been used to apply a range of content-based image retrieval methods to a substantial number of images. By massively distributing the required computational task across thousands of Grid nodes, we have achieved very high throughput at relatively low overheads.