• Chỉ mục bởi
  • Năm xuất bản

Using SR-tree in a content-based and location-based image retrieval system

Ogier J.-M. | Boucher A. IRD, UM 209, IRD France Nord, Bondy F-93I43, France| Van Nguyen N. Institut de la Francophonie Pour l'Informatique, MSI, UMI209, Hanoi, Viet Nam|

VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications Số , năm 2010 (Tập 2, trang 491-494)


Tài liệu thuộc danh mục: Scopus

Conference Paper


Từ khóa: Content based image retrieval; Content-based; Geographic objects; GIS data; Image retrieval systems; Location based; Location-based information; Location-based searches; Multidimensional data; Multidimensional indexing; Natural disasters; Nearest neighbour; Spatial data; SR tree; Visual content; Ad hoc networks; Computer vision; Content based retrieval; Disasters; Geographic information systems; Indexing (of information); Information retrieval; Trees (mathematics)
Tóm tắt tiếng anh
This paper presents an approach for combining content-based and location-based information in an image retrieval system. With the performance for nearest neighbour queries in the area of multidimensional data and for spatial data structuring, the SR-tree (Katayama and Satoh, 1997) structure is chosen for structuring the images simultaneously in location space and visual content space. The proposed approach also uses the SR-tree structure to organize various geographic objects of a Geographic Information System (GIS). We apply then this approach to a decision-aid system in a situation of post-natural disaster in which images describe different disasters and geographic objects are monuments registered in GIS data in the form of polygons. The proposed system aims at finding emergencies in the city after a natural disaster and giving them an emergency level. Some scenarios showing the interest of using content-based and location-based search in different ways are also presented and tested in the developed system.

Xem chi tiết