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World-wide Scale Geotagged Image Dataset for Automatic Image Annotation and Reverse Geotagging

Mousselly-Sergieh, Hatem ; Watzinger, Daniel ; Huber, Bastian ; Döller, Mario ; Egyed-Zsigmond, Elöd ; Kosch, Harald (2014)
World-wide Scale Geotagged Image Dataset for Automatic Image Annotation and Reverse Geotagging.
Singapore, Singapore
doi: 10.1145/2557642.2563673
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Mousselly-Sergieh, Hatem ; Watzinger, Daniel ; Huber, Bastian ; Döller, Mario ; Egyed-Zsigmond, Elöd ; Kosch, Harald
Type of entry: Bibliographie
Title: World-wide Scale Geotagged Image Dataset for Automatic Image Annotation and Reverse Geotagging
Language: English
Date: 2014
Publisher: ACM
Book Title: Proceedings of the 5th ACM Multimedia Systems Conference
Series: MMSys '14
Event Location: Singapore, Singapore
DOI: 10.1145/2557642.2563673
URL / URN: https://dl.acm.org/citation.cfm?id=2563673&dl=ACM&coll=DL
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.

Uncontrolled Keywords: Flickr, geotagging, image dataset, quad-tree
Identification Number: TUD-CS-2014-1077
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Date Deposited: 31 Dec 2016 14:29
Last Modified: 19 Sep 2018 14:25
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