000 | 03983nam a22005175i 4500 | ||
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001 | 978-3-030-23350-1 | ||
003 | DE-He213 | ||
005 | 20240423125011.0 | ||
007 | cr nn 008mamaa | ||
008 | 190805s2019 sz | s |||| 0|eng d | ||
020 |
_a9783030233501 _9978-3-030-23350-1 |
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024 | 7 |
_a10.1007/978-3-030-23350-1 _2doi |
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050 | 4 | _aTK5105.5-5105.9 | |
072 | 7 |
_aUKN _2bicssc |
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_aCOM043000 _2bisacsh |
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_aUKN _2thema |
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082 | 0 | 4 |
_a004.6 _223 |
100 | 1 |
_aWei, Xin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aMultimedia QoE Evaluation _h[electronic resource] / _cby Xin Wei, Liang Zhou. |
250 | _a1st ed. 2019. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
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300 |
_aX, 82 p. 37 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5776 |
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505 | 0 | _a1 Introduction -- 2 Technical Premise -- 3 Multimedia Service Data Preprocessing and Feature Extraction -- 4 Multimedia QoE Modeling and Prediction -- 5 Implementation and Demonstration -- 6 Conclusion. | |
520 | _aThis SpringerBrief discusses the most recent research in the field of multimedia QoE evaluation, with a focus on how to evaluate subjective multimedia QoE problems from objective techniques. Specifically, this SpringerBrief starts from a comprehensive overview of multimedia QoE definition, its influencing factors, traditional modeling and prediction methods. Subsequently, the authors introduce the procedure of multimedia service data collection, preprocessing and feature extractions. Then, describe several proposed multimedia QoE modeling and prediction techniques in details. Finally, the authors illustrate how to implement and demonstrate multimedia QoE evaluation in the big data platform. This SpringerBrief provides readers with a clear picture on how to make full use of multimedia service data to realize multimedia QoE evaluation. With the exponential growth of the Internet technologies, multimedia services become immensely popular. Users can enjoy multimedia services from operators or content providers by TV, computers and mobile devices. User experience is important for network operators and multimedia content providers. Traditional QoS (quality of service) can not entirely and accurately describe user experience. It is natural to research the quality of multimedia service from the users’ perspective, defined as multimedia quality of experience (QoE). However, multimedia QoE evaluation is difficult, because user experience is abstract and subjective, hard to quantify and measure. Moreover, the explosion of multimedia service and emergence of big data, all call for a new and better understanding of multimedia QoE. This SpringerBrief targets advanced-level students, professors and researchers studying and working in the fields of multimedia communications and information processing. Professionals, industry managers, and government research employees working in these same fields will also benefit from this SpringerBrief. | ||
650 | 0 | _aComputer networks . | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aZhou, Liang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030233495 |
776 | 0 | 8 |
_iPrinted edition: _z9783030233518 |
830 | 0 |
_aSpringerBriefs in Computer Science, _x2191-5776 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-23350-1 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
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