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- W2474836504 abstract "How to encode and represent a scene remains a critical problem in both human and computer vision. Traditional local and global features are useful and have some successes; however, many observations on human scene perception seem to point to an object-based representation. In this paper, we propose a high-level representation for scene categorization. First, we utilize semantic segmentation to get semantic regions. Then we obtain an object histogram representation of a scene by summation pooling over all regions. Second, we build spatial and geometrical priors for each object and each pair of co-occurrent objects from training scenes, and integrate the spatial and geometrical information of objects into the scene representation. Experimental results on two datasets demonstrate that the proposed representation is effective and competitive." @default.
- W2474836504 created "2016-07-22" @default.
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- W2474836504 date "2016-01-01" @default.
- W2474836504 modified "2023-10-18" @default.
- W2474836504 title "Object-Based Representation for Scene Classification" @default.
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- W2474836504 doi "https://doi.org/10.1007/978-3-319-34111-8_14" @default.
- W2474836504 hasPublicationYear "2016" @default.
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