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- W2031039904 abstract "This paper presents a new content-based retrieval framework applied to logo retrieval in large natural image collections. The first contribution is a new challenging dataset, called BelgaLogos, which was created in collaboration with professionals of a press agency, in order to evaluate logo retrieval technologies in real-world scenarios. The second and main contribution is a new visual query expansion method using an a contrario thresholding strategy in order to improve the accuracy of expanded query images. Whereas previous methods based on the same paradigm used a purely hand tuned fixed threshold, we provide a fully adaptive method enhancing both genericity and effectiveness. This new technique is evaluated on both OxfordBuilding dataset and our new BelgaLogos dataset." @default.
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- W2031039904 date "2009-01-01" @default.
- W2031039904 modified "2023-09-30" @default.
- W2031039904 title "Logo retrieval with a contrario visual query expansion" @default.
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- W2031039904 doi "https://doi.org/10.1145/1631272.1631361" @default.
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