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Bipartite graph reinforcement modeling to annotate web images

机译:二部图增强建模来注释Web图像

摘要

Systems and methods for bipartite graph reinforcement modeling to annotate web images are described. In one aspect the systems and methods implement bipartite graph reinforcement modeling operations to identify a set of annotations that are relevant to a Web image. The systems and methods annotate the Web image with the identified annotations. The systems and methods then index the annotated Web image. Responsive to receiving an image search query from a user, wherein the image search query comprises information relevant to at least a subset of the identified annotations, the image search engine service presents the annotated Web image to the user.
机译:描述了用于二部图增强建模以注释网络图像的系统和方法。在一方面,该系统和方法实施二部图加强建模操作以识别与网络图像有关的一组注释。该系统和方法使用所标识的注释来注释Web图像。然后,系统和方法对带注释的Web图像进行索引。响应于从用户接收图像搜索查询,其中图像搜索查询包括与所识别的注释的至少一个子集有关的信息,图像搜索引擎服务向用户呈现带注释的Web图像。

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