Visual media retrieval framework using web service

Authors:
Yunmook Nah;Bogju Lee;Jungsun Kim
Affiliations:
School of Electrical, Electronics, and Computer Engineering, Dankook University, Seoul, Korea;School of Electrical, Electronics, and Computer Engineering, Dankook University, Seoul, Korea;School of Electrical Engineering and Computer Science, Hanyang University, Kyungki-do, Korea
Venue:
HSI'05 Proceedings of the 3rd international conference on Human Society@Internet: web and Communication Technologies and Internet-Related Social Issues
Year:
2005

Citing 10
Cited 1

SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries

IEEE Transactions on Pattern Analysis and Machine Intelligence
Image content modeling for neuroscience databases

SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
A semantic modeling approach for image retrieval by content

The VLDB Journal — The International Journal on Very Large Data Bases - Spatial Database Systems
Query by Image and Video Content: The QBIC System

Computer
Chabot: Retrieval from a Relational Database of Images

Computer
Next-Generation Web Searches for Visual Content

Computer
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs

IEEE Transactions on Knowledge and Data Engineering
Guest Editors' Introduction: Web Services Computing--Advancing Software Interoperability

Computer
CPXe: Web Services for Internet Imaging

Computer
Ontology-Mediated Integration of Intranet Web Services

Computer

Semi-automatic ontology construction for visual media web service

Proceedings of the 2nd international conference on Ubiquitous information management and communication

Quantified Score

Hi-index	0.00

Visualization

Abstract

The need for content-based image retrieval from image databases is ever increasing rapidly in many applications, such as electronic art museums, internet shopping malls, internet search engines, and medical information systems. Many such image resources have been previously developed and widely spread over the internet. In this paper, we propose a Web Service-driven architecture, named the HERMES(tHE Retrieval framework for visual MEdia Service), to support effective retrieval on large volumes of visual media resources. We explain how semantic metadata and ontology can be utilized to realize more intelligent content-based retrieval on visual media data.