LEADER 03640nam 22007335 450 001 9910299826503321 005 20200630201407.0 010 $a981-287-468-2 024 7 $a10.1007/978-981-287-468-9 035 $a(CKB)3710000000412322 035 $a(EBL)2095430 035 $a(SSID)ssj0001501300 035 $a(PQKBManifestationID)11803529 035 $a(PQKBTitleCode)TC0001501300 035 $a(PQKBWorkID)11524132 035 $a(PQKB)11051540 035 $a(DE-He213)978-981-287-468-9 035 $a(MiAaPQ)EBC2095430 035 $a(PPN)186027486 035 $a(EXLCZ)993710000000412322 100 $a20150509d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aVisual Quality Assessment by Machine Learning /$fby Long Xu, Weisi Lin, C.-C. Jay Kuo 205 $a1st ed. 2015. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2015. 215 $a1 online resource (142 p.) 225 1 $aSpringerBriefs in Signal Processing,$x2196-4076 300 $aDescription based upon print version of record. 311 $a981-287-467-4 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Fundamental knowledges of machine learning -- Image features and feature processing -- Feature pooling by learning -- Metrics fusion -- Summary and remarks for future research. 330 $aThe book encompasses the state-of-the-art visual quality assessment (VQA) and learning based visual quality assessment (LB-VQA) by providing a comprehensive overview of the existing relevant methods. It delivers the readers the basic knowledge, systematic overview and new development of VQA. It also encompasses the preliminary knowledge of Machine Learning (ML) to VQA tasks and newly developed ML techniques for the purpose. Hence, firstly, it is particularly helpful to the beginner-readers (including research students) to enter into VQA field in general and LB-VQA one in particular. Secondly, new development in VQA and LB-VQA particularly are detailed in this book, which will give peer researchers and engineers new insights in VQA. 410 0$aSpringerBriefs in Signal Processing,$x2196-4076 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aOptical data processing 606 $aComputational intelligence 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 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aOptical data processing. 615 0$aComputational intelligence. 615 14$aSignal, Image and Speech Processing. 615 24$aImage Processing and Computer Vision. 615 24$aComputational Intelligence. 676 $a006.31 700 $aXu$b Long$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720841 702 $aLin$b Weisi$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKuo$b C.-C. Jay$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299826503321 996 $aVisual Quality Assessment by Machine Learning$92525672 997 $aUNINA