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Capturing Spatial Interdependence in Image Features: The Counting Grid, an Epitomic Representation for Bags of Features

机译:捕获图像特征中的空间相互依赖性:计数网格,特征包的流行病学表示

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In recent scene recognition research images or large image regions are often represented as disorganized “bags” of features which can then be analyzed using models originally developed to capture co-variation of word counts in text. However, image feature counts are likely to be constrained in different ways than word counts in text. For example, as a camera pans upwards from a building entrance over its first few floors and then further up into the sky
机译:在最近的场景识别研究中,图像或较大的图像区域通常表示为特征的杂乱无章的“包”,然后可以使用最初开发来捕获文本中字数共变的模型进行分析。但是,与文字中的字数统计相比,图像特征数的约束方式可能有所不同。例如,当摄像机从建筑物入口的前几层向上平移,然后再向上延伸到天空时

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