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Article: Efficient and robust large medical image retrieval in mobile cloud computing environment

TitleEfficient and robust large medical image retrieval in mobile cloud computing environment
Authors
Issue Date2014
Citation
Information Sciences, 2014, v. 263, p. 60-86 How to Cite?
AbstractThis paper presents an efficient and robust content-based large medical image retrieval method in mobile Cloud computing environment, called the Mirc. The whole query process of the Mirc is composed of three steps. First, when a clinical user submits a query image Iq, a parallel image set reduction process is conducted at a master node. Then the candidate images are transferred to the slave nodes for a refinement process to obtain the answer set. The answer set is finally transferred to the query node. The proposed method including an priority-based robust image block transmission scheme is specifically designed for solving the instability and the heterogeneity of the mobile cloud environment, and an index-support image set reduction algorithm is introduced for reducing the data transfer cost involved. We also propose a content-aware and bandwidth-conscious multi-resolution-based image data replica selection method and a correlated data caching algorithm to further improve the query performance. The experimental results show that the performance of our approach is both efficient and effective, minimizing the response time by decreasing the network transfer cost while increasing the parallelism of I/O and CPU.
Persistent Identifierhttp://hdl.handle.net/10722/199283
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhuang, Yen_US
dc.contributor.authorJiang, Nen_US
dc.contributor.authorWu, Zen_US
dc.contributor.authorLi, Qen_US
dc.contributor.authorChiu, KWDen_US
dc.contributor.authorHu, Hen_US
dc.date.accessioned2014-07-22T01:10:49Z-
dc.date.available2014-07-22T01:10:49Z-
dc.date.issued2014en_US
dc.identifier.citationInformation Sciences, 2014, v. 263, p. 60-86en_US
dc.identifier.urihttp://hdl.handle.net/10722/199283-
dc.description.abstractThis paper presents an efficient and robust content-based large medical image retrieval method in mobile Cloud computing environment, called the Mirc. The whole query process of the Mirc is composed of three steps. First, when a clinical user submits a query image Iq, a parallel image set reduction process is conducted at a master node. Then the candidate images are transferred to the slave nodes for a refinement process to obtain the answer set. The answer set is finally transferred to the query node. The proposed method including an priority-based robust image block transmission scheme is specifically designed for solving the instability and the heterogeneity of the mobile cloud environment, and an index-support image set reduction algorithm is introduced for reducing the data transfer cost involved. We also propose a content-aware and bandwidth-conscious multi-resolution-based image data replica selection method and a correlated data caching algorithm to further improve the query performance. The experimental results show that the performance of our approach is both efficient and effective, minimizing the response time by decreasing the network transfer cost while increasing the parallelism of I/O and CPU.en_US
dc.languageengen_US
dc.relation.ispartofInformation Sciencesen_US
dc.titleEfficient and robust large medical image retrieval in mobile cloud computing environmenten_US
dc.typeArticleen_US
dc.identifier.emailChiu, KWD: dchiu88@hku.hken_US
dc.identifier.doi10.1016/j.ins.2013.10.013en_US
dc.identifier.hkuros231661en_US
dc.identifier.volume263en_US
dc.identifier.spage60en_US
dc.identifier.epage86en_US
dc.identifier.isiWOS:000331919400005-

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