Design of GeoConscious P2P Content-based Image Retrieval

In this article, we focus on the design of an agent-based P2P system for egeoconscious' image retrieval. This system constitutes intelligent agents on the structured P2P framework PIAX (P2P Interactive Agent extension), which is especially enhanced for location-oriented services. In our design,...

Full description

Saved in:
Bibliographic Details
Main Authors: Kamahara, J., Tanaka, N., Hirayama, K., Nagamatsu, T., Teranishi, Y., Ariyoshi, Y.
Format: Conference Proceeding
Language:English
Subjects:
Content Based Image Retrieval
Educational institutions
GeoConscious
Geolocation
Geology
Geotagging
Global Positioning System
Image retrieval
Kernel
P2P
Photography
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this article, we focus on the design of an agent-based P2P system for egeoconscious' image retrieval. This system constitutes intelligent agents on the structured P2P framework PIAX (P2P Interactive Agent extension), which is especially enhanced for location-oriented services. In our design, a cluster agent manages the geometric area for image agents as a Voronoi region. We show some results from the implementation of our system and check the splitting of the Voronoi region using a test algorithm, thus confirming the behavior of our cluster agent.
DOI:10.1109/BWCCA.2012.23