Landmark Recognition: State-of-the-Art Methods in a Large-Scale Scenario

Magdalena Rischka, Stefan Conrad
2014 Lernen, Wissen, Daten, Analysen  
The recognition of landmarks in images can help to manage large image collections and thus is desirable for many image retrieval applications. A practical system has to be scalable with an increasing number of landmarks. For the domain of landmark recognition we investigate state-of-the-art CBIR methods on an image dataset of 900 landmarks. Our experiments show that the kNN classifier outperforms the SVM in a large-scale scenario. The examined visual phrase concept has shown not to be as
more » ... ve as the classical Bag-of-Words approach although the most landmarks are objects with a relatively fixed composition of their (nearby) parts.
dblp:conf/lwa/RischkaC14 fatcat:5smcj5xxvvguvnnqv36k53364e