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Error-resilient surveillance video transmission based on a practical joint source-channel distortion computing model.

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Title: Error-resilient surveillance video transmission based on a practical joint source-channel distortion computing model.
Authors: Jung, Tae-jun1, Jeong, Yo-Won2, Lee, Hong-rae1, Seo, Kwang-deok1, kdseo@yonsei.ac.kr
Source: Journal of Supercomputing; Mar2017, Vol. 73 Issue 3, p1017-1043, 27p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 121442519
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PubType: Academic Journal
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  Data: Error-resilient surveillance video transmission based on a practical joint source-channel distortion computing model.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>; Mar2017, Vol. 73 Issue 3, p1017-1043, 27p
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      – Type: doi
        Value: 10.1007/s11227-016-1762-3
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 1017
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      – TitleFull: Error-resilient surveillance video transmission based on a practical joint source-channel distortion computing model.
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            NameFull: Jung, Tae-jun
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            NameFull: Jeong, Yo-Won
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            NameFull: Lee, Hong-rae
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              Text: Mar2017
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              Value: 73
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            – TitleFull: Journal of Supercomputing
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