Efficient region of interest detection using blind image division
The determination of Region-of-Interest can be used as a means of improving the performance of image retrieval, when used in image annotation as a step in the indexing of images collection. It also has the potential to support efficient video compression for real-time applications. However, existing Region-of-Interest detection methods are mostly unsuitable for managing large number of images and for real-time video applications due to their high computational requirements. This paper therefore proposes an unsupervised algorithm which applies blind image division in the determination of relevant regions within an image space.