DocumentCode :
2448310
Title :
Image retrieval using re-segmentation driven by query rectangles
Author :
Cinque, L. ; De Rosa, F. ; Lecca, F. ; Levialdi, S. ; Tanimoto, S.
Author_Institution :
Dip. di Sci. dell´´Informazione, Rome Univ., Italy
Volume :
4
fYear :
2002
fDate :
2002
Firstpage :
142
Abstract :
In this paper we address two key issues in image retrieval: (1) the use of rectangles in queries to express properties of regions in the desired target images; and (2) the use of over-segmentation to build the index of images in the database. In our method, the rectangles in the user´s query are used to control a partial re-segmentation of each candidate image. These query-driven partial re-segmentations provide the features for determining the distance between the query and each candidate, so that the closest candidates can be determined and retrieved. This method enables the construction of image retrieval systems with completely automatic indexing.
Keywords :
database indexing; image retrieval; image segmentation; query processing; visual databases; image database; image query; image retrieval; indexing; over segmentation; query processing; Content based retrieval; Data engineering; Image databases; Image retrieval; Image segmentation; Indexes; Information retrieval; Remuneration; Shape; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1047419
Filename :
1047419
Link To Document :
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