LEADER 00810nam0-22002771i-450 001 990006002800403321 005 20221017101247.0 035 $a000600280 035 $aFED01000600280 035 $a(Aleph)000600280FED01 100 $a20000112d1957----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $ay-------001yy 200 1 $a<>civil law system$ecases and materials for the comparative study of law$fArthur Taylor von Mehren 210 $aBoston$cBrown and Company$d1957 215 $aXXII, 922 p.$d24 cm 676 $a340.56$v23$zita 700 1$aMehren,$bArthur Taylor von$0422392 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006002800403321 952 $aVIII B 544$b62444$fFGBC 959 $aFGBC 996 $aCivil law system$9581672 997 $aUNINA LEADER 03941nam 22005055 450 001 9910349289303321 005 20200702025437.0 010 $a3-030-23350-2 024 7 $a10.1007/978-3-030-23350-1 035 $a(CKB)4100000008878281 035 $a(MiAaPQ)EBC5847407 035 $a(DE-He213)978-3-030-23350-1 035 $a(PPN)260301086 035 $a(EXLCZ)994100000008878281 100 $a20190805d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultimedia QoE Evaluation /$fby Xin Wei, Liang Zhou 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (88 pages) 225 1 $aSpringerBriefs in Computer Science,$x2191-5768 311 $a3-030-23349-9 327 $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. 330 $aThis SpringerBrief discusses the most recent research in the field of multimedia QoE evaluation, with a focus on how to evaluate subjective multimedia QoE problems from objective techniques. Specifically, this SpringerBrief starts from a comprehensive overview of multimedia QoE definition, its influencing factors, traditional modeling and prediction methods. Subsequently, the authors introduce the procedure of multimedia service data collection, preprocessing and feature extractions. Then, describe several proposed multimedia QoE modeling and prediction techniques in details. Finally, the authors illustrate how to implement and demonstrate multimedia QoE evaluation in the big data platform. This SpringerBrief provides readers with a clear picture on how to make full use of multimedia service data to realize multimedia QoE evaluation. With the exponential growth of the Internet technologies, multimedia services become immensely popular. Users can enjoy multimedia services from operators or content providers by TV, computers and mobile devices. User experience is important for network operators and multimedia content providers. Traditional QoS (quality of service) can not entirely and accurately describe user experience. It is natural to research the quality of multimedia service from the users? perspective, defined as multimedia quality of experience (QoE). However, multimedia QoE evaluation is difficult, because user experience is abstract and subjective, hard to quantify and measure. Moreover, the explosion of multimedia service and emergence of big data, all call for a new and better understanding of multimedia QoE. This SpringerBrief targets advanced-level students, professors and researchers studying and working in the fields of multimedia communications and information processing. Professionals, industry managers, and government research employees working in these same fields will also benefit from this SpringerBrief. 410 0$aSpringerBriefs in Computer Science,$x2191-5768 606 $aComputers 606 $aArtificial intelligence 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputers. 615 0$aArtificial intelligence. 615 14$aInformation Systems and Communication Service. 615 24$aArtificial Intelligence. 676 $a004.019 676 $a006.7 700 $aWei$b Xin$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063180 702 $aZhou$b Liang$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910349289303321 996 $aMultimedia QoE Evaluation$92530863 997 $aUNINA