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A Novel Mobile Video Community Discovery Scheme Using Ontology-Based Semantical Interest Capture
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Telecommunications Engineering
Abstract EN
Leveraging network virtualization technologies, the community-based video systems rely on the measurement of common interests to define and steady relationship between community members, which promotes video sharing performance and improves scalability community structure.
In this paper, we propose a novel mobile Video Community discovery scheme using ontology-based semantical interest capture (VCOSI).
An ontology-based semantical extension approach is proposed, which describes video content and measures video similarity according to video key word selection methods.
In order to reduce the calculation load of video similarity, VCOSI designs a prefix-filtering-based estimation algorithm to decrease energy consumption of mobile nodes.
VCOSI further proposes a member relationship estimate method to construct scalable and resilient node communities, which promotes video sharing capacity of video systems with the flexible and economic community maintenance.
Extensive tests show how VCOSI obtains better performance results in comparison with other state-of-the-art solutions.
American Psychological Association (APA)
Zhang, Ruiling& Xiong, Shengwu. 2016. A Novel Mobile Video Community Discovery Scheme Using Ontology-Based Semantical Interest Capture. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1111542
Modern Language Association (MLA)
Zhang, Ruiling& Xiong, Shengwu. A Novel Mobile Video Community Discovery Scheme Using Ontology-Based Semantical Interest Capture. Mobile Information Systems No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1111542
American Medical Association (AMA)
Zhang, Ruiling& Xiong, Shengwu. A Novel Mobile Video Community Discovery Scheme Using Ontology-Based Semantical Interest Capture. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1111542
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111542