Visual guided navigation for image retrieval

Visual guided navigation for image retrieval

In this work, we are interested in technologies that will allow users to actively browse and navigate large image databases and to retrieve images through interactive fast browsing and navigation. The development of a browsing/navigation-based image retrieval system has at least two challenges. The first is that the system’s graphical user interface (GUI) should intuitively reflect the distribu...

User-Adaptive Navigation Structures for Image Retrieval

Galois' lattices have been shown to be a convenient navigation structure for visualization. However, experiments showed that after a few hundreds of images the number of children and parents for a given node is likely to increase and to lead to user confusion. In order to deal with larger sets of images, we introduce a linear complexity algorithm to define a sub-lattice that will still respect ...

Visual Analytics for Image Retrieval

Content Based Image Retrieval (CBIR) applies pattern recognition methods to search for images within a database. The main problem of CBIR is that to date only low level image features are available as similarity measures. Therefore, it is not yet possible to search for scenes or objects defined on the level of world knowledge. The application of current similarity measures is based just on the ...

Visual image retrieval : seeking

In the commercial use of picture collections, a heavy dependency continues to be exhibited on a concept-based image retrieval paradigm in which the query is verbalised by the client and resolved as a metadata text-matching operation. The practical and philosophical challenges posed by the indexing aspect of image metadata construction are significant and frequently expressed. Nevertheless, it h...

Visual image retrieval