Temporal Web Image Retrieval

dc.contributor.author Adam Jatowt en
dc.contributor.author Ricardo Campos en
dc.contributor.author Gaël Dias en
dc.contributor.author José Moreno en
dc.date.accessioned 2017-11-16T14:18:30Z
dc.date.available 2017-11-16T14:18:30Z
dc.date.issued 2012 en
dc.description.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. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/2922
dc.identifier.uri http://dx.doi.org/10.1007/978-3-642-34109-0_21 en
dc.language eng en
dc.relation 5782 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Temporal Web Image Retrieval en
dc.type conferenceObject en
dc.type Publication en
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