Definition:As 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 Figure 1).
A QBSI query is composed as a spatial arrangement of visual semantics. A Visual Query Term (VQT) q specifies a region R where a Semantic Support Region (SSR) S i should appear and a query formulas chains these terms...
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References
M. Flickner et al., “Query by image and video content: the QBIC system,” IEEE Computer, Vol. 28, No. 9, 1995, pp. 23–30.
J.H. Lim and J.S. Jin, “A structured learning framework for content-based image indexing and visual query,” Multimedia Systems Journal, 2005.
G.J. Klir and T.A. Folger, “Fuzzy Sets, Uncertainty, and Information,” Prentice Hall, 1992.
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(2006). Semantic Visual Query and Retrieval. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/0-387-30038-4_219
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DOI: https://doi.org/10.1007/0-387-30038-4_219
Publisher Name: Springer, Boston, MA
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