@incollection{furht_semantic_2008-3,
	title = {Semantic {Visual} {Query} and {Retrieval}},
	copyright = {©2008 Springer-Verlag},
	isbn = {978-0-387-74724-8 978-0-387-78414-4},
	url = {http://link.springer.com/referenceworkentry/10.1007/978-0-387-78414-4_213},
	abstract = {DefinitionAs an alternative to content based queries, semantic visual queries, such as Query by Spatial Icons, allow user to specify visual semantics explicitly based on a predefined visual vocabulary used to index the images.Searching images by text queries is effective if the images are associated with comprehensive keywords. Query By Example (QBE) and Query By Canvas (QBC) [1] allow image retrieval based on image contents. However QBE and QBC are implicit as they expect the image retrieval systems to understand the visual semantics embedded in the image or drawn respectively. As an alternative, Query by Spatial Icons (QBSI) [2] allows user to specify visual semantics explicitly based on a predefined visual vocabulary used to index the images (see example in Fig. 1).Semantic Visual Query and Retrieval. Figure 1.Query by Spatial Icons (QBSI) [2] allows user to specify visual semantics explicitly based on a predefined visual vocabulary used to index the images. ...},
	language = {en},
	urldate = {2016-05-03},
	booktitle = {Encyclopedia of {Multimedia}},
	publisher = {Springer US},
	editor = {Furht, Borko},
	year = {2008},
	note = {00000},
	pages = {806--807}
}

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