Human-Centered Social Media Analytics

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ISBN: 3319054902
ISBN 13: 9783319054902
Herausgeber: Yun Fu
Verlag: Springer Verlag GmbH
Umfang: viii, 208 S., 46 s/w Illustr., 51 farbige Illustr., 208 p. 97 illus., 51 illus. in color.
Erscheinungsdatum: 07.04.2014
Auflage: 1/2014
Format: 1.4 x 24.2 x 16.1
Gewicht: 447 g
Produktform: Gebunden/Hardback
Einband: Gebunden

Utilizing 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 realworld applications Examines social relationships in humancentered media for the development of sociallyaware video, locationbased, and multimedia applications Reviews techniques for recognizing the social roles played by people in an event, and for classifying humanobject 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.

Artikelnummer: 6224523 Kategorie:

Beschreibung

This book 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. 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.

Autorenporträt

InhaltsangabePart I: Social Relationships in Human-Centered MediaBridging Human-Centered Social Media Content across Web Domains Suman Deb Roy, Tao Mei, and Wenjun ZengLearning Social Relations from Videos: Features, Models and Analytics Lei Ding and Alper YilmazCommunity Understanding in Location-Based Social Networks YiLiang Zhao, Qiang Cheng, Shuicheng Yan, Daqing Zhang, and TatSeng ChuaSocial Role Recognition for Human Event Understanding Vignesh Ramanathan, Bangpeng Yao, and Li Fei-FeiIntegrating Randomization and Discrimination for Classifying Human-Object Interaction Activities Aditya Khosla, Bangpeng Yao, and Li Fei-FeiPart II: Human Attributes in Social Media AnalyticsRecognizing People in Social Context Gang Wang, Andrew Gallagher, Jiebo Luo, and David ForsythFemale Facial Beauty Attribute Recognition and Editing Jinjun Wang, Yihong Gong, and Douglas GrayFacial Age Estimation: A Data Representation PerspectiveXin GengIdentity and Kinship Relations in Group Pictures Ming Shao, Siyu Xia, and Yun FuRecognizing Occupations through Probabilistic Models: A Social View Ming Shao and Yun Fu

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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