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03592nam a22005535i 4500 |
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978-3-319-24792-2 |
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DE-He213 |
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20210617071927.0 |
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cr nn 008mamaa |
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151022s2015 gw | s |||| 0|eng d |
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|a 9783319247922
|9 978-3-319-24792-2
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|a 10.1007/978-3-319-24792-2
|2 doi
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|a QA76.575
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|a UG
|2 bicssc
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|a COM034000
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|a 006.7
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|a Menkovski, Vlado.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Computational Inference and Control of Quality in Multimedia Services
|h [electronic resource] /
|c by Vlado Menkovski.
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| 250 |
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|a 1st ed. 2015.
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| 264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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| 300 |
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|a XIII, 135 p. 63 illus., 46 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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| 505 |
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|a Supervisor's Foreword -- Preface -- Introduction -- Objective QoE Models -- Subjective QoE Models -- QoE Management Framework -- QoE Active Control -- Conclusions.
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| 520 |
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|a This thesis focuses on the problem of optimizing the quality of network multimedia services. This problem spans multiple domains, from subjective perception of multimedia quality to computer networks management. The work done in this thesis approaches the problem at different levels, developing methods for modeling the subjective perception of quality based on objectively measurable parameters of the multimedia coding process as well as the transport over computer networks. The modeling of subjective perception is motivated by work done in psychophysics, while using Machine Learning techniques to map network conditions to the human perception of video services. Furthermore, the work develops models for efficient control of multimedia systems operating in dynamic networked environments with the goal of delivering optimized Quality of Experience. Overall this thesis delivers a set of methods for monitoring and optimizing the quality of multimedia services that adapt to the dynamic environment of computer networks in which they operate.
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| 650 |
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|a Multimedia information systems.
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| 650 |
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|a Electrical engineering.
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| 650 |
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|a Data mining.
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| 650 |
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|a Management information systems.
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| 650 |
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|a Computer science.
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| 650 |
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|a Multimedia Information Systems.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18059
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| 650 |
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|a Communications Engineering, Networks.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T24035
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| 650 |
2 |
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|a Data Mining and Knowledge Discovery.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18030
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| 650 |
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|a Management of Computing and Information Systems.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I24067
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783319247908
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| 776 |
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|i Printed edition:
|z 9783319247915
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| 776 |
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|i Printed edition:
|z 9783319366395
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| 830 |
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-319-24792-2
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-SXCS
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
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