Paper Info
Title
World-wide scale geotagged image dataset for automatic image annotation and reverse geotagging
Abstract
In this paper, a dataset of geotagged photos on a world-wide scale is presented. The dataset contains a sample of more than 14 million geotagged photos crawled from Flickr with the corresponding metadata. To guarantee the spatial representativeness of the dataset, a crawling approach based on the small-world phenomena and the Flickr friendship's graph is applied. Furthermore, the noisiness of user-provided tags is reduced through an automatic tag cleaning approach. To enable efficient retrieval, photos in the dataset are indexed based on their location information using quad-tree data structure. The dataset can assists different applications, especially, search-based automatic image annotation and reverse geotagging.
Year
DOI
Venue
2014
10.1145/2557642.2563673
MMSys
Keywords
Field
DocType
world-wide scale,different application,flickr friendship,corresponding metadata,geotagged image dataset,efficient retrieval,geotagged photo,search-based automatic image annotation,location information,million geotagged photo,crawling approach,reverse geotagging,automatic tag,geotagging,quad tree
Data mining,Graph,Data structure,Metadata,Automatic image annotation,Crawling,Information retrieval,Computer science,Geotagging,Quadtree
Conference
Citations 
PageRank 
References 
11
0.59
17
Authors
6
Name
Order
Citations
PageRank
Hatem Mousselly Sergieh1749.20
Daniel Watzinger2110.93
Bastian Huber3110.93
Mario Döller413018.38
Elöd Egyed-zsigmond58716.64
Harald Kosch6775116.64