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010   $a981-10-0631-8
024 7 $a10.1007/978-981-10-0631-9
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035   $a(EBL)4427872
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035   $a(PQKBTitleCode)TC0001653998
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035   $a(DE-He213)978-981-10-0631-9
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035   $a(PPN)192220039
035   $a(EXLCZ)993710000000602478
100   $a20160224d2016      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aBig Visual Data Analysis $eScene Classification and Geometric Labeling /$fby Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo
205   $a1st ed. 2016.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2016.
215   $a1 online resource (128 p.)
225 1 $aSpringerBriefs in Signal Processing,$x2196-4076
300   $aDescription based upon print version of record.
311   $a981-10-0629-6 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Scene Understanding Datasets -- Indoor/Outdoor classi?cation with Multiple Experts -- Outdoor Scene Classi?cation Using Labeled Segments -- Global-Attributes Assisted Outdoor Scene Geometric Labeling -- Conclusion and Future Work.
330   $aThis book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoor scene classification, and outdoor scene layout estimation. It is illustrated with numerous natural and synthetic color images, and extensive statistical analysis is provided to help readers visualize big visual data distribution and the associated problems. Although there has been some research on big visual data analysis, little work has been published on big image data distribution analysis using the modern statistical approach described in this book. By presenting a complete methodology on big visual data analysis with three illustrative scene comprehension problems, it provides a generic framework that can be applied to other big visual data analysis tasks.
410  0$aSpringerBriefs in Signal Processing,$x2196-4076
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aOptical data processing
606   $aMathematics
606   $aVisualization
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
606   $aVisualization$3https://scigraph.springernature.com/ontologies/product-market-codes/M14034
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aOptical data processing.
615  0$aMathematics.
615  0$aVisualization.
615 14$aSignal, Image and Speech Processing.
615 24$aImage Processing and Computer Vision.
615 24$aVisualization.
676   $a620
700   $aChen$b Chen$4aut$4http://id.loc.gov/vocabulary/relators/aut$0761219
702   $aRen$b Yuzhuo$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aKuo$b C.-C. Jay$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910253967503321
996   $aBig Visual Data Analysis$92545039
997   $aUNINA