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Identifying the Geographic Location of an Image with a Multimodal Probability Density Function

Davies, Jamie, Hare, Jonathon, Samangooei, Sina, Preston, John, Jain, Neha, Dupplaw, David and Lewis, Paul H. (2013) Identifying the Geographic Location of an Image with a Multimodal Probability Density Function At MediaEval 2013 / Placing: Geo-coordinate Prediction for Social Multimedia, Spain.

Record type: Conference or Workshop Item (Paper)

Abstract

There is a wide array of online photographic content that is not geotagged. Algorithms for efficient and accurate geographical estimation of an image are needed to geolocate these photos. This paper presents a general model for using both textual metadata and visual features of photos to automatically place them on a world map.

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More information

Accepted/In Press date: 18 October 2013
Venue - Dates: MediaEval 2013 / Placing: Geo-coordinate Prediction for Social Multimedia, Spain, 2013-10-18
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 358836
URI: http://eprints.soton.ac.uk/id/eprint/358836
PURE UUID: e3500685-ca39-447e-b7a1-933df21bdc44
ORCID for Jonathon Hare: ORCID iD orcid.org/0000-0003-2921-4283

Catalogue record

Date deposited: 11 Oct 2013 16:49
Last modified: 18 Jul 2017 03:26

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Contributors

Author: Jamie Davies
Author: Jonathon Hare ORCID iD
Author: Sina Samangooei
Author: John Preston
Author: Neha Jain
Author: David Dupplaw
Author: Paul H. Lewis

University divisions

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