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2015
Springer

Image Landmark Recognition with Hierarchical K-Means Tree

3 years 10 months ago
Image Landmark Recognition with Hierarchical K-Means Tree
: Today’s giant-sized image databases require content-based techniques to handle the exploration of image content on a large scale. A special part of image content retrieval is the domain of landmark recognition in images as it constitutes a basis for a lot of interesting applications on web images, personal image collections and mobile devices. We build an automatic landmark recognition system for images using the Bag-of-Words model in combination with the Hierarchical K-Means index structure. Our experiments on a test set of landmark and non-landmark images with a recognition engine supporting 900 landmarks show that large visual dictionaries of size about 1M achieve the best recognition results.
Magdalena Rischka, Stefan Conrad 0001
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where BTW
Authors Magdalena Rischka, Stefan Conrad 0001
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