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Existing methods that incorporate spatial information into a traditional Bag-of-Visual-Words (BoVW) model consider the spatial arrangement of an image but ignore pixel homogeneity in land-use remote sensing images. In this letter, we present an improved correlaton model to jointly integrate appearance, spatial correlation, and pixel homogeneity using multiscale segmentation. The effectiveness of the...
In this paper we propose a novel approach for introducing semantic relations into the bag-of-words framework for recognizing human actions. We represent visual words in two different views: the original features and the document co-occurrence representation. The latter view conveys semantic relations but is large, sparse and noisy. We use canonical correlation analysis between the two views to find...
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