Ruben’s data

Matches in Ruben’s data for { <https://dx.doi.org/10.1007/s11042-014-2445-9> ?p ?o }

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s11042-014-2445-9 author wesley_de_neve.
s11042-014-2445-9 author rik_van_de_walle.
s11042-014-2445-9 author pieter_pauwels.
s11042-014-2445-9 author erik_mannens.
s11042-014-2445-9 author me.
s11042-014-2445-9 author me.
s11042-014-2445-9 creator wesley_de_neve.
s11042-014-2445-9 creator rik_van_de_walle.
s11042-014-2445-9 creator pieter_pauwels.
s11042-014-2445-9 creator erik_mannens.
s11042-014-2445-9 creator me.
s11042-014-2445-9 creator me.
s11042-014-2445-9 about Annotation.
s11042-014-2445-9 about Web_services.
s11042-014-2445-9 about Web_service.
s11042-014-2445-9 about reasoning.
s11042-014-2445-9 about Metadata.
s11042-014-2445-9 about World_Wide_Web.
s11042-014-2445-9 author wesley_de_neve.
s11042-014-2445-9 author rik_van_de_walle.
s11042-014-2445-9 author pieter_pauwels.
s11042-014-2445-9 author erik_mannens.
s11042-014-2445-9 author me.
s11042-014-2445-9 author me.
s11042-014-2445-9 coparticipatesWith wesley_de_neve.
s11042-014-2445-9 coparticipatesWith rik_van_de_walle.
s11042-014-2445-9 coparticipatesWith pieter_pauwels.
s11042-014-2445-9 coparticipatesWith erik_mannens.
s11042-014-2445-9 coparticipatesWith me.
s11042-014-2445-9 coparticipatesWith me.
s11042-014-2445-9 type PublicationIssue.
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s11042-014-2445-9 type CollectedDocument.
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s11042-014-2445-9 type ScholarlyArticle.
s11042-014-2445-9 type Article.
s11042-014-2445-9 type Document.
s11042-014-2445-9 type Document.
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s11042-014-2445-9 P50 wesley_de_neve.
s11042-014-2445-9 P50 rik_van_de_walle.
s11042-014-2445-9 P50 pieter_pauwels.
s11042-014-2445-9 P50 erik_mannens.
s11042-014-2445-9 P50 me.
s11042-014-2445-9 P50 me.
s11042-014-2445-9 maker wesley_de_neve.
s11042-014-2445-9 maker rik_van_de_walle.
s11042-014-2445-9 maker pieter_pauwels.
s11042-014-2445-9 maker erik_mannens.
s11042-014-2445-9 maker me.
s11042-014-2445-9 maker me.
s11042-014-2445-9 title "Towards Robust and Reliable Multimedia Analysis through Semantic Integration of Services".
s11042-014-2445-9 isPartOf multimedia_tools_and_applications.
s11042-014-2445-9 name "Towards Robust and Reliable Multimedia Analysis through Semantic Integration of Services".
s11042-014-2445-9 label "Towards Robust and Reliable Multimedia Analysis through Semantic Integration of Services".
s11042-014-2445-9 name "Towards Robust and Reliable Multimedia Analysis through Semantic Integration of Services".
s11042-014-2445-9 topic Annotation.
s11042-014-2445-9 topic Web_services.
s11042-014-2445-9 topic Web_service.
s11042-014-2445-9 topic reasoning.
s11042-014-2445-9 topic Metadata.
s11042-014-2445-9 topic World_Wide_Web.
s11042-014-2445-9 subject Annotation.
s11042-014-2445-9 subject Web_services.
s11042-014-2445-9 subject Web_service.
s11042-014-2445-9 subject reasoning.
s11042-014-2445-9 subject Metadata.
s11042-014-2445-9 subject World_Wide_Web.
s11042-014-2445-9 authorList b0_b2405.
s11042-014-2445-9 topic Annotation.
s11042-014-2445-9 topic Web_services.
s11042-014-2445-9 topic Web_service.
s11042-014-2445-9 topic reasoning.
s11042-014-2445-9 topic Metadata.
s11042-014-2445-9 topic World_Wide_Web.
s11042-014-2445-9 abstract "Due to the ubiquitous Web-connectivity and portable multimedia devices, it has never been so easy to produce and distribute new multimedia resources such as videos, photos, and audio. This ever increasing production leads to an information overload for consumers, which calls for efficient multimedia retrieval techniques. Multimedia can be efficiently retrieved using its metadata, but the multimedia analysis methods that can automatically generate this metadata are currently not reliable enough for highly diverse multimedia content. A reliable and automatic method for analyzing general multimedia content is needed. We introduce a domain-agnostic framework that annotates multimedia resources using currently available multimedia analysis methods. By using a three-step reasoning cycle, this framework can assess and improve the quality of multimedia analysis results, by consecutively (1) combining analysis results effectively, (2) predicting which results might need improvement, and (3) invoking compatible analysis methods to retrieve new results. By using semantic descriptions for the Web services that wrap the multimedia analysis methods, compatible services can be automatically selected. By using additional semantic reasoning on these semantic descriptions, the different services can be repurposed across different use cases. We evaluated this problem-agnostic framework in the context of video face detection, and showed that it is capable of providing the best analysis results regardless of the input video. The proposed methodology can serve as a basis to build a generic multimedia annotation platform, which returns reliable results for diverse multimedia analysis problems. This allows for better metadata generation, and improves the efficient retrieval of multimedia resources.".
s11042-014-2445-9 datePublished "2016".
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