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Image retrieval using discriminative visual features

机译:使用区分性视觉特征进行图像检索

摘要

Image search results are obtained by providing weights to visual features to emphasize features corresponding to objects of interest while simultaneously deemphasizing irrelevant or inconsistent features that lead to poor search results. In order to minimize the impact of visual features that are unreliable or irrelevant with respect to the objects of interest in the image, context-dependent weights are provided to detect visual features such that those visual features pertaining to the objects of interest are more heavily weighted than those visual features that pertain to irrelevant or unreliable portions of the image. Visual features may be weighted for images in a searchable database. Training data may be obtained and used in weighting visual features in a query image and, alternatively, in searchable database images.
机译:通过向视觉特征提供权重以强调与感兴趣对象相对应的特征,同时不加重导致搜索结果不佳的无关或不一致的特征,从而获得图像搜索结果。为了最小化对于图像中的感兴趣对象而言不可靠或不相关的视觉特征的影响,提供了上下文相关权重来检测视觉特征,使得与感兴趣对象有关的那些视觉特征被更重地加权。而不是那些与图像的不相关或不可靠部分有关的视觉特征。视觉特征可以对可搜索数据库中的图像加权。可以获取训练数据,并将其用于对查询图像以及可搜索的数据库图像中的视觉特征进行加权。

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