VIRaL: Visual Image Retrieval and Localization

Visual Image Retrieval and Localization

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

Image Retrieval for Image-Based Localization Revisited

To reliably determine the camera pose of an image relative to a 3D point cloud of a scene, correspondences between 2D features and 3D points are needed. Recent work has demonstrated that directly matching the features against the points outperforms methods that take an intermediate image retrieval step in terms of the number of images that can be localized successfully. Yet, direct matching is ...

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 ...