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Image ranking based on abstract concepts

机译:基于抽象概念的图像排名

摘要

A system and method for ranking images are provided. The method includes receiving a query comprising a semantic part and an abstract part, retrieving a set of images responsive to the semantic part of the query, and computing first scores for the retrieved images in the set of retrieved images. The first score of an image can be based on a relevance of that image to the semantic part of the query (and not to the abstract part of the query). The method further includes identifying a chromatic concept model from a set of chromatic concept models. This identification can be based on the abstract part of the query (and not on the semantic part of the query). The chromatic concept model includes an optionally-weighted set of colors expressed in a perceptually uniform color space. For retrieved images in the set of retrieved images, the method includes computing a chromatic image model based on colors of the image, the chromatic image model comprising a weighted set of colors expressed in the perceptually uniform color space and computing a comparison measure between the chromatic image model and the chromatic concept model. The retrieved images are scored with respective second scores that are based on the computed comparison measures. The retrieved images are ranked based on a combined score for a respective retrieved image which is a function of the first and second scores.
机译:提供了一种用于对图像进行排名的系统和方法。该方法包括:接收包括语义部分和抽象部分的查询;响应于查询的语义部分,检索图像集合;以及为该组检索图像中的检索图像计算第一分数。图像的第一分数可以基于该图像与查询的语义部分(而不是查询的抽象部分)的相关性。该方法还包括从一组色度概念模型中识别色度概念模型。此标识可以基于查询的抽象部分(而不是基于查询的语义部分)。色度概念模型包括一组在视觉上统一的色彩空间中表示的可选加权的颜色。对于一组检索到的图像中的检索到的图像,该方法包括基于图像的颜色计算彩色图像模型,该彩色图像模型包括在感知上均匀的色彩空间中表示的加权颜色集合,以及计算该彩色图像之间的比较度量。图像模型和色度概念模型。使用基于计算的比较度量的相应第二分数对检索到的图像进行分数。基于相应的检索图像的组合得分对检索的图像进行排名,该得分是第一得分和第二得分的函数。

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