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