Abstract
Methods for processingo f pictorial queries specified by pictorial query trees are presented. Leaves of a pictorial query tree correspond to individual pictorial queries while internal nodes correspond to logical operations on them. Algorithms for processing individual pictorial queries and for parsingan d computingt he overall result of a pictorial query tree are presented. Issues involved in optimizing query processing of pictorial query trees are outlined and some initial solutions are suggested.
The support of the Lady Davis Foundation and the National Science Foundation under Grant CDA-950-3994 is gratefully acknowledged.
The support of the National Science Foundation under Grant IRI-97-12715 is gratefully acknowledged.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
A. Del Bimbo, E. Vicario, and D. Zingoni. A spatial logic for symbolic description of image contents. Jour. of Vis. Lang. and Comp., 5(3):267–286, Sept. 1994.
S. K. Chang, Q. Y. Shi, and C. Y. Yan. Iconic indexing by 2-D strings. IEEE Trans. on Patt. Anal. and Mach. Intel., 9(3):413–428, May 1987.
W. I. Grosky, P. Neo, and R. Mehrotra. A pictorial index mechanism for model-based matching. Data & Know. Engin., 8(4):309–327, Sept. 1992.
W. Niblack, R. Barber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, and P. Yanker. The QBIC project: Queryingi mages by content using color, texture, and shape. In Proc. of the SPIE, Storage and Retrieval of Image and Video Databases, vol. 1908, pp. 173–187, San Jose, CA, Feb. 1993.
A. Pentland, R. W. Picard, and S. Sclaroff. Photobook: Content-based manipulation of image databases. In Proc. of the SPIE, Storage and Retrieval of Image and Video Databases II, vol. 2185, pp. 34–47, San Jose, CA, Feb. 1994.
J. R. Smith and S.-F. Chang. VisualSEEk: a fully automated content-based image query system. In ACM Int. Conf. on Multimedia, pp. 87–98, Boston, Nov. 1996.
A. Soffer and H. Samet. Pictorial queries by image similarity. In 13th Int. Conf. on Patt. Recog., vol. III, pp. 114–119, Vienna, Austria, Aug. 1996.
A. Soffer and H. Samet. Pictorial query specification for browsing through spatially-referenced image databases. Jour. of Vis. Lang. and Comp., 9(6):567–596, Dec. 1998.
A. Soffer, H. Samet, and D. Zotkin. Pictorial query trees for query specification in image databases. In 14th Int. Conf. on Patt. Recog., vol. I, pp. 919–921, Brisbane, Australia, Aug 1998.
M. Swain. Interactive indexingin to image databases. In Proc. of the SPIE, Storage and Retrieval for Image and Video Databases, vol. 1908, pp. 95–103, San Jose, CA, Feb. 1993.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Soffer, A., Samet, H. (1999). Query Processing and Optimization for Pictorial Query Trees. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_8
Download citation
DOI: https://doi.org/10.1007/3-540-48762-X_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66079-8
Online ISBN: 978-3-540-48762-3
eBook Packages: Springer Book Archive