LEADER 05422nam 22007575 450 001 9910299058403321 005 20200706091528.0 010 $a3-319-05491-0 024 7 $a10.1007/978-3-319-05491-9 035 $a(CKB)3710000000095018 035 $a(EBL)1698185 035 $a(OCoLC)875887092 035 $a(SSID)ssj0001186540 035 $a(PQKBManifestationID)11703827 035 $a(PQKBTitleCode)TC0001186540 035 $a(PQKBWorkID)11218034 035 $a(PQKB)11091599 035 $a(MiAaPQ)EBC1698185 035 $a(DE-He213)978-3-319-05491-9 035 $a(PPN)177822430 035 $a(EXLCZ)993710000000095018 100 $a20140324d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHuman-Centered Social Media Analytics /$fedited by Yun Fu 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (210 p.) 300 $aDescription based upon print version of record. 311 $a1-322-52210-3 311 $a3-319-05490-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aPart I: Social Relationships in Human-Centered Media -- Bridging Human-Centered Social Media Content across Web Domains -- Learning Social Relations from Videos -- Community Understanding in Location-Based Social Networks -- Social Role Recognition for Human Event Understanding -- Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities -- Part II: Human Attributes in Social Media Analytics -- Recognizing People in Social Context -- Female Facial Beauty Attribute Recognition and Editing -- Facial Age Estimation -- Identity and Kinship Relations in Group Pictures -- Recognizing Occupations through Probabilistic Models. 330 $aUtilizing the ubiquity of social media in modern society, the emerging interdisciplinary field of social computing offers the promise of important human-centered applications. Human-Centered Social Media Analytics provides a timely and unique survey of next-generation social computational methodologies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions, personalities, needs, and lifestyles from human information in unconstrained visual data. The collected chapters present a range of different viewpoints examining the various possibilities and challenges to machine understanding of humans in a social context. Topics and features: Includes perspectives from an international and interdisciplinary selection of pre-eminent authorities Presents balanced coverage of both detailed theoretical analysis and real-world applications Examines social relationships in human-centered media for the development of socially-aware video, location-based, and multimedia applications Reviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities Discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation Requires no prior background knowledge of the area This authoritative text/reference will be a valuable resource for researchers and graduate students interested in social media and networking, computer vision and biometrics, big data, and HCI. Practitioners in these fields, as well as in image processing and computer graphics, will also find the book of great interest. Dr. Yun Fu is an assistant professor in the Department of Electrical and Computer Engineering at Northeastern University, Boston, MA, USA, where he is the founder of the Synergetic Media Learning (SMILE) Lab. 606 $aBiometrics (Biology) 606 $aData mining 606 $aUser interfaces (Computer systems) 606 $aArtificial intelligence 606 $aOptical data processing 606 $aBiometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22040 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 615 0$aBiometrics (Biology). 615 0$aData mining. 615 0$aUser interfaces (Computer systems). 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 14$aBiometrics. 615 24$aData Mining and Knowledge Discovery. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aArtificial Intelligence. 615 24$aImage Processing and Computer Vision. 676 $a004 676 $a005.437 676 $a006.3 676 $a006.312 702 $aFu$b Yun$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299058403321 996 $aHuman-Centered Social Media Analytics$92089761 997 $aUNINA