Temporal web image retrieval

Authors:
Gaël Dias;José G. Moreno;Adam Jatowt;Ricardo Campos
Affiliations:
Université de Caen Basse-Normandie, UMR 6072 GREYC, Caen, France,Center of Mathematics, University of Beira Interior, Portugal;Université de Caen Basse-Normandie, UMR 6072 GREYC, Caen, France;Kyoto University and Japan Science and Technology Agency, Japan;Polytechnic Institute of Tomar and LIAAD-INESC TEC, Portugal,Center of Mathematics, University of Beira Interior, Portugal
Venue:
SPIRE'12 Proceedings of the 19th international conference on String Processing and Information Retrieval
Year:
2012

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Abstract

Temporal Web Image Retrieval can be defined as the process that retrieves sets of Web images with their temporal dimension from explicit or implicit temporal text queries. Supposing that (a) the temporal dimension is included in image indexing and (b) the query is explicitly expressed with a time tag (e.g. "Fukushima 2011"), the retrieval task can be straightforward as image retrieval has been studied for several years with success. However, text queries are usually implicit in time (e.g. "Second World War") and automatically capturing the time dimension included in Web images is a challenge that has not been studied so far to the best of our knowledge. In this paper, we will discuss different research issues about Temporal Web Image Retrieval and the current progresses of our research in temporal ephemeral clustering and temporal image filtering.