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Conference Papers Year : 2013

Landmark Image Annotation Using Textual and Geolocation Metadata


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.,,, 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, we show that an aggregated measure that combines both distance and frequency factors leads to results significantly better than any of the individual factors
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hal-04084506 , version 1 (28-04-2023)


  • HAL Id : hal-04084506 , version 1
  • OATAO : 12386


Madalina Mitran, Rada Mihalcea, Guillaume Cabanac, Mohand Boughanem. Landmark Image Annotation Using Textual and Geolocation Metadata. 10th Conference on Open Research Areas in Information Retrieval (OAIR 2013), May 2013, Lisbonne, Portugal. pp.65-68. ⟨hal-04084506⟩
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