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Article: Efficient Personalized Probabilistic Retrieval of Chinese Calligraphic Manuscript Images in Mobile Cloud Environment

TitleEfficient Personalized Probabilistic Retrieval of Chinese Calligraphic Manuscript Images in Mobile Cloud Environment
Authors
Issue Date21-Aug-2014
PublisherAssociation of Computing Machineries.
Citation
ACM Transactions on Asian Language Information Processing, 2014, v. 13 n. 4, article no. 18 How to Cite?
AbstractAncient language manuscripts constitute a key part of the cultural heritage of mankind. As one of the most important languages, Chinese historical calligraphy work has contributed to not only the Chinese cultural heritage but also the world civilization at large, especially for Asia. To support deeper and more convenient appreciation of Chinese calligraphy works, based on our previous work on the probabilistic retrieval of historical Chinese calligraphic character manuscripts repositories, we propose a system framework of the multi-feature-based Chinese calligraphic character images probabilistic retrieval in mobile cloud network environment, which is called the DPRC. To ensure retrieval efficiency, we further propose four enabling techniques: 1) DRL-based probability propagation, 2) optimal data placement scheme, 3) adaptive data robust transmission algorithm, and 4) index support filtering scheme. Comprehensive experiments are conducted to testify the effectiveness and efficiency of our proposed DPRC method.
Persistent Identifierhttp://hdl.handle.net/10722/200980

 

DC FieldValueLanguage
dc.contributor.authorZhuang, Yen_US
dc.contributor.authorLi, Qen_US
dc.contributor.authorChiu, KWDen_US
dc.contributor.authorWu, ZAen_US
dc.contributor.authorHu, HYen_US
dc.date.accessioned2014-08-21T07:08:47Z-
dc.date.available2014-08-21T07:08:47Z-
dc.date.issued2014-08-21-
dc.identifier.citationACM Transactions on Asian Language Information Processing, 2014, v. 13 n. 4, article no. 18en_US
dc.identifier.urihttp://hdl.handle.net/10722/200980-
dc.description.abstractAncient language manuscripts constitute a key part of the cultural heritage of mankind. As one of the most important languages, Chinese historical calligraphy work has contributed to not only the Chinese cultural heritage but also the world civilization at large, especially for Asia. To support deeper and more convenient appreciation of Chinese calligraphy works, based on our previous work on the probabilistic retrieval of historical Chinese calligraphic character manuscripts repositories, we propose a system framework of the multi-feature-based Chinese calligraphic character images probabilistic retrieval in mobile cloud network environment, which is called the DPRC. To ensure retrieval efficiency, we further propose four enabling techniques: 1) DRL-based probability propagation, 2) optimal data placement scheme, 3) adaptive data robust transmission algorithm, and 4) index support filtering scheme. Comprehensive experiments are conducted to testify the effectiveness and efficiency of our proposed DPRC method.en_US
dc.languageengen_US
dc.publisherAssociation of Computing Machineries.en_US
dc.relation.ispartofACM Transactions on Asian Language Information Processing (TALIP)en_US
dc.titleEfficient Personalized Probabilistic Retrieval of Chinese Calligraphic Manuscript Images in Mobile Cloud Environmenten_US
dc.typeArticleen_US
dc.identifier.emailChiu, KWD: dchiu88@hku.hken_US
dc.identifier.doi10.1145/2629575-
dc.identifier.hkuros232066en_US

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