Abstract
Homeland security and disaster relief are some of the critical areas of E-governance that have to deal with vast amounts of dynamic heterogeneous data. Providing rapid real-time search capabilities for such applications is a challenge. Intelligent Foraging, Gathering, and Matching (I-FGM) is an established framework developed to assist users to find information quickly and effectively by incrementally collecting, processing and matching information nuggets. This framework has been successfully used to develop a distributed, unstructured text retrieval application. In this paper, we apply the I-FGM framework to image collections by using a concept-based image retrieval method. We approach this by incrementally processing images, extracting low-level features and mapping them to higher level concepts. Our empirical evaluation shows that our approach performs competitively compared to some existing approaches in terms of retrieving relevant images while offering the speed advantages of distributed and incremental process and unified framework between text and images.
Original language | English (US) |
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Pages (from-to) | 14-35 |
Number of pages | 22 |
Journal | International Journal of Electronic Government Research |
Volume | 4 |
Issue number | 1 |
DOIs | |
State | Published - 2008 |
Externally published | Yes |
Keywords
- Agent technology
- CBIR
- Distributed systems
- Heterogeneous databases
- Image retrieval
- Information search and retrieval
- Intelligent agents
- IS performance evaluation
- Real-time IS
ASJC Scopus subject areas
- Software
- General Social Sciences
- Hardware and Architecture
- Computer Networks and Communications