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The contributions of image blocks to the holistic scene semantic classification are further exploited in this paper. An image is subdivided into non-overlapping regular grid of blocks hierarchically, 2 × 2 blocks at the first level and 3 × 3 blocks at the second level. For each level, “bag-of-features” strategy is deployed to predict the scene category of each block. Then the holistic scene category...
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