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
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;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1047419