公开(公告)号：US20120163710A1

公开(公告)日：2012-06-28

申请号：US12975712

申请日：2010-12-22

申请人： SANDRA SKAFF ,  Luca Marchesotti ,  Gabriela Csurka

发明人： SANDRA SKAFF ,  Luca Marchesotti ,  Gabriela Csurka

IPC分类号： G06K9/00

CPC分类号： G06F17/3025 ,  G06K9/6226 ,  G06N7/005

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.

摘要翻译： 提供了一种用于对图像进行排序的系统和方法。 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一组图像，以及计算检索图像集中检索到的图像的第一分数。 图像的第一个分数可以基于该图像与查询的语义部分的相关性（而不是查询的抽象部分）。 该方法还包括从一组色彩概念模型中识别色彩概念模型。 该标识可以基于查询的抽象部分（而不是查询的语义部分）。 色彩概念模型包括以感知统一的颜色空间表示的可选加权的颜色集合。 对于所检索的图像集合中的检索图像，该方法包括基于图像的颜色来计算彩色图像模型，该彩色图像模型包括在感知统一的颜色空间中表示的加权的一组颜色，并且计算色度 图像模型和色彩概念模型。 所检索的图像用基于所计算的比较测量的相应的第二分数进行评分。 所检索的图像基于作为第一和第二分数的函数的相应检索图像的组合分数来排序。