摘要 :
Map generalization is used to derive maps for secondary scales and/or specific goals. This operationgreatly benefits spatial decision support systems as itcan provide a global and simplified representation of aphenomenon discardin...
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Map generalization is used to derive maps for secondary scales and/or specific goals. This operationgreatly benefits spatial decision support systems as itcan provide a global and simplified representation of aphenomenon discarding irrelevant information. Therecent popularity of OLAP systems for variousapplication domains has generated much interest forthe development of Spatial OLAP (SOLAP) modelsthat integrate spatial data in data warehouse andOLAP systems. Although powerful under some respect,current SOLAP models cannot support mapgeneralization capabilities. In this paper, we present aconceptual multidimensional model integrating mapgeneralization. The model extends SOLAP spatialhierarchies introducing multi-associationrelationships, and supports imprecise measures.
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摘要 :
In the recent years, photo context metadata (e.g.,date, GPS coordinates) have been proved to be useful in the management of personal photos. However, these metadata are still poorly considered in photo retrieving systems. In order...
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In the recent years, photo context metadata (e.g.,date, GPS coordinates) have been proved to be useful in the management of personal photos. However, these metadata are still poorly considered in photo retrieving systems. In order to overcome this limitation, we propose an approach to incorporate contextual metadata in a keyword-based photo retrieval process.We use metadata about the photo shot context (address location, nearby objects, season, light status...) to generate a bag of words for indexing each photo. We extend the Vector Space Model in order to transform these shot context words into document-vector terms. In addition, spatial reasoning and geographical ontologies are used to infer new indexing terms. This facilitates the query-document matching process and also allows performing semantic comparison between the query terms and photo annotations.
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