The University of Southampton
University of Southampton Institutional Repository

Placing Photos with a Multimodal Probability Density Function

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. (doi:10.1145/2578726.2578768).

Record type: Conference or Workshop Item (Paper)


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.

PDF 125-Hare.pdf - Version of Record
Download (241kB)

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


Local EPrints ID: 363376
PURE UUID: a84e284b-4389-4df4-9f54-437649ce0c01
ORCID for Jonathon Hare: ORCID iD

Catalogue record

Date deposited: 24 Mar 2014 09:16
Last modified: 18 Jul 2017 02:40

Export record



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

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.