首页> 外国专利> MAP SEARCH RECOMMENDATION SYSTEM BASED ON IMAGE CONTENT ANALYSIS DRIVEN GEO-SEMANTIC INDEX

MAP SEARCH RECOMMENDATION SYSTEM BASED ON IMAGE CONTENT ANALYSIS DRIVEN GEO-SEMANTIC INDEX

机译:基于图像内容分析的地语义索引的地图搜索推荐系统

摘要

The present disclosure provides systems and methods that enable map search recommendations based on a geo-semantic index developed using image content analysis. In one example, a computer-implemented method can include obtaining, by one or more computing devices, a vocabulary of image feature types associated with user activities. The method can include obtaining a collection of imagery. The method can include performing image content analysis on the collection of imagery based on the vocabulary of image feature types. The method can include generating at least one activity score for each of a plurality of location cells in a geo-semantic index based at least in part on the vocabulary of image feature types. The method can include populating the geo-semantic index of location cells, the geo-semantic index of location cells including data indicative of the at least one activity score for each location cell. The method can include providing the geo-semantic index of location cells for use in generating location recommendations in response to a query.
机译:本公开提供了使得能够基于使用图像内容分析开发的地理语义索引来进行地图搜索推荐的系统和方法。在一个示例中,一种计算机实现的方法可以包括通过一个或多个计算设备获得与用户活动相关联的图像特征类型的词汇表。该方法可以包括获得图像的集合。该方法可以包括基于图像特征类型的词汇表对图像集合进行图像内容分析。该方法可以包括至少部分地基于图像特征类型的词汇表为地理语义索引中的多个位置单元中的每一个生成至少一个活动得分。该方法可以包括填充位置单元的地理语义索引,位置单元的地理语义索引包括指示每个位置单元的至少一个活动得分的数据。该方法可以包括提供位置单元的地理语义索引,以用于响应于查询而生成位置推荐。

著录项

  • 公开/公告号WO2020131138A1

    专利类型

  • 公开/公告日2020-06-25

    原文格式PDF

  • 申请/专利权人 GOOGLE LLC;

    申请/专利号WO2019US12527

  • 发明设计人 MAYSTER YAN;SHUCKER BRIAN DANIEL;

    申请日2019-01-07

  • 分类号G06F16/29;

  • 国家 WO

  • 入库时间 2022-08-21 11:10:31

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