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Landmark Image Annotation Using Textual and Geolocation Metadata

Mitran, Madalina and Mihalcea, Rada and Cabanac, Guillaume and Boughanem, Mohand Landmark Image Annotation Using Textual and Geolocation Metadata. (2013) In: 10th Conference on Open Research Areas in Information Retrieval (OAIR 2013), 22 May 2013 - 24 May 2013 (Lisbon, Portugal).

(Document in English)

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In this paper, we address the problem of landmark image annotation, defined as the task of automatically annotating a landmark query image with relevant descriptors (keywords or tags). Given a new query image along with its geolocation metadata (latitude and longitude), we retrieve several other images already available in a community image database (e.g., flickr.com, panoramio.com), found within a fixed radius of the location of the query image. We then formulate the automatic landmark image annotation problem as a tag ranking problem over all the tags obtained from these pre-existing neighboring images. We propose several tag ranking factors, and by evaluating them against a gold standard constructed using the geolocation-oriented photo sharing platform panoramio.com, we show that an aggregated measure that combines both distance and frequency factors leads to results significantly better than any of the individual factors

Item Type:Conference or Workshop Item (Paper)
Additional Information:ISBN: 978-2-905450-09-8 ; The original PDF is available at : http://dl.acm.org/citation.cfm?id=2491765
HAL Id:hal-04084506
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:04 Dec 2015 14:52

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