Visual Media Retrieval Framework Using Web Service

Nah, Yunmook; Lee, Bogju; Kim, Jung-Sun

doi:10.1007/11527725_12

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…In this section, we briefly review the overall architecture of the visual media service framework [8]. The architecture named the HERMES is a Web Service-enabled visual media retrieval framework architecture, which consists of HERMES/B node and multiple HERMES/P nodes, each servicing visual media resources using their own metadata standard format or customized metadata format.…”

Section: Overviewmentioning

confidence: 99%

“…In our previous research, we proposed an architecture, called the HERMES(tHE Retrieval framework for visual MEdia Service), which is a Web Service and ontology-enabled visual media retrieval framework, consisting of HERMES/B node (Web Service broker) and multiple HERMES/P nodes (Web Service providers), each servicing their own visual media resources [8,9,10]. In the HERMES, the Service Ontology for HERMES/B and the provider-specific ontologies for HERMES/P have been built manually by using ontology editors.…”

Section: Introductionmentioning

confidence: 99%

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Semi-automatic ontology construction for visual media web service

Kim

Hwang

Suh

et al. 2008

Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication

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Ontology is a description of the concepts and relationships that can exist for an agent or a community of agents. Ontologies are a key enabling technology for the Semantic Web. Previously, ontologies have been built manually by knowledge engineers using ontology editors. In this paper, we propose a semiautomatic ontology construction scheme for visual media data brokers and providers. We apply data mining techniques on sets of image data groups to determine general term relationships and utilize WordNet to determine semantic relationships between terms. Even though our research has been started for visual media data retrieval, the proposed scheme can be also applied to other problem domains.

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Section: Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Semi-automatic ontology construction for visual media web service

Kim

Hwang

Suh

et al. 2008

Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication

Self Cite

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“…In this subsection, we want to highlight several existing image retrieval systems that have domain knowledge integrated. Nah et al [84] have presented a visual media retrieval framework which is built on basis of Web service. An ontology based metadata of image annotation was created and integrated into media retrieval framework.…”

Section: Related Workmentioning

confidence: 99%

Ontology for multimedia content descriptions

Song¹

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Before the presentation of the research work, I need to thank many people who helped in this project and the development of my thesis. First of all, I owe the greatest gratitude to my supervisor, Dr. Chia Liang-Tien, Clement. He is such a nice man who always takes great pains giving me remarkable guidance. No doubt, I have learned many things and benefited a lot from him during these years. Next, I would like to express my gratitude to Dr. Deepu Rajan for his support since the beginning, and for his patience and guidance. Without their continuous

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Service Provider Ranking Based on Visual Media Ontology

Min¹,

Lee²

2008

The KIPS Transactions:PartB

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It is important to retrieve effectively the visual media such as pictures and video in the internet, especially to the application areas such as electronic art museum, e-commerce, and internet shopping malls. It is also needed in these areas to have content-based or even semantic-based multimedia retrieval instead of simple keyword-based retrieval. In our earlier research, we proposed a semantic-based visual media retrieval framework for the effective retrieval of the visual media from the internet. It uses visual media metadata and ontology based on the web service to achieve the semantic-based retrieval. In this research, there are more than one visual media service providers and one central service broker. As a preliminary step to the visual media data retrieval, a method is proposed to retrieve the service providers effectively. The method uses the structure of the ontology tree to obtain the providers and their rankings. It also uses the size of sub nodes and child nodes in the tree. It measures the rankings of providers more effectively than previous method. The experimental results show the accuracy of the method while keeping compatible speed against the existing method.

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Visual Media Retrieval Framework Using Web Service

Cited by 3 publications

References 12 publications

Semi-automatic ontology construction for visual media web service

Semi-automatic ontology construction for visual media web service

Ontology for multimedia content descriptions

Service Provider Ranking Based on Visual Media Ontology

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