Exploring Image, Text and Geographic Evidences in ImageCLEF 2007
João Magalhães, Simon Overell, Stefan Rüger · 2007
This year, ImageCLEF2007 data provided multiple evidences that can be explored in many different ways. In this paper we describe an information retrieval framework that combines image, text and geographic data. Text analysis implements the vector space model based on non-geographic terms. Geographic analysis implements a placename disambiguation method and placenames are indexed by their Getty TGN Unique Id. Image analysis implements a query by semantic example model. The paper concludes with an analysis of our results. Finally we identify the weaknesses in our approach and ways in which the system could be optimised and improved. Categories and Subject Descriptors