Traditional map production is a top-down process driven by national mapping agencies. We argue that VGI have the potential to allow us to create place-based maps, and in particular that VGI in the form of Flickr data can be used to drive generalization operators applied to Open Street Map data. We introduce a method to link the descriptions associated with georeferenced Flickr images to Open Street Map geometries for popular London locations, and demonstrate that rich semantic data, contributed by many users, are available after filtering for bias. We illustrate the potential application of our approach to three generalization operators
This article defines the term generalization in the context of automated mapping. It highlights the ...
Terms used to describe city centers, such as Downtown, are key concepts in everyday or vernacular la...
Visual Geo-localization (VG) is the task of estimating the position where a given photo was taken by...
We propose a categorization algorithm for text content description such as tags for images from soci...
In recent years, volunteered-geographic-information (VGI) image data have served as a data source fo...
The growth of user-generated content in quantity and quality has changed the way people use digital ...
International audienceQueries for place names represent a hefty chunk of Web image searches. Generic...
There exist many popular crowdsourcing and social services (Volunteered Geographic Information (VGI)...
With the increased availability of user generated data, assessing the quality and credibility of suc...
Geo-tagging is becoming famous in today’s era of web 2.0 technologies. Geo-tagging is a concept in w...
This paper begins by reviewing the ways in which the innovation of Google Maps has transformed our a...
In this paper, we present a novel approach for automatic visual summarization of a geographic area t...
Volunteered Geographic Information (VGI) has become a rich and well established source of geospatial...
The appearance of OpenStreetMap (OSM) in 2004 sparked a phenomenon known as Volunteered Geographic I...
In this paper we address the task of visual place recognition (VPR), where the goal is to retrieve t...
This article defines the term generalization in the context of automated mapping. It highlights the ...
Terms used to describe city centers, such as Downtown, are key concepts in everyday or vernacular la...
Visual Geo-localization (VG) is the task of estimating the position where a given photo was taken by...
We propose a categorization algorithm for text content description such as tags for images from soci...
In recent years, volunteered-geographic-information (VGI) image data have served as a data source fo...
The growth of user-generated content in quantity and quality has changed the way people use digital ...
International audienceQueries for place names represent a hefty chunk of Web image searches. Generic...
There exist many popular crowdsourcing and social services (Volunteered Geographic Information (VGI)...
With the increased availability of user generated data, assessing the quality and credibility of suc...
Geo-tagging is becoming famous in today’s era of web 2.0 technologies. Geo-tagging is a concept in w...
This paper begins by reviewing the ways in which the innovation of Google Maps has transformed our a...
In this paper, we present a novel approach for automatic visual summarization of a geographic area t...
Volunteered Geographic Information (VGI) has become a rich and well established source of geospatial...
The appearance of OpenStreetMap (OSM) in 2004 sparked a phenomenon known as Volunteered Geographic I...
In this paper we address the task of visual place recognition (VPR), where the goal is to retrieve t...
This article defines the term generalization in the context of automated mapping. It highlights the ...
Terms used to describe city centers, such as Downtown, are key concepts in everyday or vernacular la...
Visual Geo-localization (VG) is the task of estimating the position where a given photo was taken by...