Image database navigation systems provide an interesting approach of managing and finding images in databases of large image repositories. Here, an image collection is visualised, typically based on features extracted from the images, in such a way that similar images are placed close to each other in an arrangement that aids understanding and supports interactive browsing of the image set. In this paper, we provide an overview of image browsing systems, focussing on some of the systems that we have developed in our lab to enable effective and efficient interactive exploration of large image collections.
CITATION STYLE
Schaefer, G. (2018). Interactive browsing systems for large image collections. Lecture Notes in Computational Vision and Biomechanics, 27, 3–9. https://doi.org/10.1007/978-3-319-68195-5_1
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