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Placing Photos with a Multimodal Probability Density Function

Placing Photos with a Multimodal Probability Density Function
Placing Photos with a Multimodal Probability Density Function
Knowing the location where a photograph was taken provides us with data that could be useful in a wide spectrum of applications. With the advance of digital cameras, and with many users exchanging their digital cameras for GPS-enabled mobile phones, photographs annotated with geographical locations are becoming ever more present on photo-sharing websites such as Flickr. However there is still a mass of content that is not geotagged, meaning that algorithms for efficient and accurate geographical estimation of an image are needed. This paper presents a general model for effectively using both textual metadata and visual features of photos to automatically place them on a world map with state-of-the-art performance. In addition, we explore how information from user-modelling can be fused with our model, and investigate the effect such modelling has on performance.
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Davies, Jamie
e5eff020-453a-4812-9f3c-fbbed7dd3531
Samangooei, Sina
c380fb26-55d4-4b34-94e7-c92bbb26a40d
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Davies, Jamie
e5eff020-453a-4812-9f3c-fbbed7dd3531
Samangooei, Sina
c380fb26-55d4-4b34-94e7-c92bbb26a40d
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020

Hare, Jonathon, Davies, Jamie, Samangooei, Sina and Lewis, Paul H. (2014) Placing Photos with a Multimodal Probability Density Function At International Conference on Multimedia Retrieval (ICMR'14), United Kingdom.

Record type: Conference or Workshop Item (Paper)

Abstract

Knowing the location where a photograph was taken provides us with data that could be useful in a wide spectrum of applications. With the advance of digital cameras, and with many users exchanging their digital cameras for GPS-enabled mobile phones, photographs annotated with geographical locations are becoming ever more present on photo-sharing websites such as Flickr. However there is still a mass of content that is not geotagged, meaning that algorithms for efficient and accurate geographical estimation of an image are needed. This paper presents a general model for effectively using both textual metadata and visual features of photos to automatically place them on a world map with state-of-the-art performance. In addition, we explore how information from user-modelling can be fused with our model, and investigate the effect such modelling has on performance.

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More information

Published date: 1 April 2014
Venue - Dates: International Conference on Multimedia Retrieval (ICMR'14), United Kingdom, 2014-04-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 363376
URI: http://eprints.soton.ac.uk/id/eprint/363376
PURE UUID: a84e284b-4389-4df4-9f54-437649ce0c01
ORCID for Jonathon Hare: ORCID iD orcid.org/0000-0003-2921-4283

Catalogue record

Date deposited: 24 Mar 2014 09:16
Last modified: 20 Oct 2017 02:06

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Contributors

Author: Jonathon Hare ORCID iD
Author: Jamie Davies
Author: Sina Samangooei
Author: Paul H. Lewis

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