Location-dependent content-based image retrieval system based on a P2P mobile agent framework

摘要

In this article, we propose a geoconscious content-based image retrieval system based on a P2P mobile agent framework. This system retrieves similar photographs from an image database of location-dependent photographs (e.g., photos of buildings, landmarks, etc.), which use GPS positions for geo-tagging. The P2P mobile agent framework supports intelligent agents. This agent searches similar content image using a query photograph by traversing the P2P network, instead of the mobile device issuing the query. In this paper, we describe the design of the proposed system and a portion of its implementation. This prototype system produces a new peer and rearranges the placement of image agents among peers for workload balancing. Furthermore, we provide the experimental results of our implementation for managing location-dependent image agents, which are clustered with peers in a distributed Delaunay network.