000 | 02889nam a22005295i 4500 | ||
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001 | 978-981-10-0269-4 | ||
003 | DE-He213 | ||
005 | 20200421111852.0 | ||
007 | cr nn 008mamaa | ||
008 | 151229s2016 si | s |||| 0|eng d | ||
020 |
_a9789811002694 _9978-981-10-0269-4 |
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024 | 7 |
_a10.1007/978-981-10-0269-4 _2doi |
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050 | 4 | _aTK5102.9 | |
050 | 4 | _aTA1637-1638 | |
050 | 4 | _aTK7882.S65 | |
072 | 7 |
_aTTBM _2bicssc |
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072 | 7 |
_aUYS _2bicssc |
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072 | 7 |
_aTEC008000 _2bisacsh |
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072 | 7 |
_aCOM073000 _2bisacsh |
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082 | 0 | 4 |
_a621.382 _223 |
100 | 1 |
_aKeimel, Christian. _eauthor. |
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245 | 1 | 0 |
_aDesign of Video Quality Metrics with Multi-Way Data Analysis _h[electronic resource] : _bA data driven approach / _cby Christian Keimel. |
264 | 1 |
_aSingapore : _bSpringer Singapore : _bImprint: Springer, _c2016. |
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300 |
_aXV, 240 p. 52 illus., 2 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 |
_aT-Labs Series in Telecommunication Services, _x2192-2810 |
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505 | 0 | _aIntroduction -- Video Quality -- Video Quality Metrics -- Data Analysis Approach -- Two-way Data Analysis -- Multi-way Data Analysis -- Model Building Considerations -- Designing Video Quality Metrics -- Performance Comparison -- Conclusion. | |
520 | _aThis book proposes a data-driven methodology using multi-way data analysis for the design of video-quality metrics. It also enables video- quality metrics to be created using arbitrary features. This data- driven design approach not only requires no detailed knowledge of the human visual system, but also allows a proper consideration of the temporal nature of video using a three-way prediction model, corresponding to the three-way structure of video. Using two simple example metrics, the author demonstrates not only that this purely data- driven approach outperforms state-of-the-art video-quality metrics, which are often optimized for specific properties of the human visual system, but also that multi-way data analysis methods outperform the combination of two-way data analysis methods and temporal pooling. . | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aUser interfaces (Computer systems). | |
650 | 0 | _aElectrical engineering. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aSignal, Image and Speech Processing. |
650 | 2 | 4 | _aUser Interfaces and Human Computer Interaction. |
650 | 2 | 4 | _aCommunications Engineering, Networks. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9789811002687 |
830 | 0 |
_aT-Labs Series in Telecommunication Services, _x2192-2810 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-981-10-0269-4 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c56190 _d56190 |