Human-Centered Social Media Analytics

Yun Fu (Herausgeber)

Buch | Softcover

VIII, 208 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2014
Springer International Publishing (Verlag)
978-3-319-34709-7 (ISBN)

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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.

Part 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.

"Human-Centered Social Media Analytics focuses on the novel social computational methodologies that are being developed to investigate social media data. ... Scholars, both new and established, should consider reading ... to gain an understanding of the questions they should pursue and the challenges they must overcome as they strive to advance big data and social media analytics research." (Pratyush Bharati, Interfaces, Vol. 47 (3), May-June, 2017)

Erscheinungsdatum	20.08.2016
Zusatzinfo	VIII, 208 p. 97 illus., 51 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Age Estimation • Artificial Intelligence • artificial intelligence (incl. robotics) • Big Data • biometrics • Computer Science • computer vision • Data Mining • data mining and knowledge discovery • Demographic Sensing • Expert systems / knowledge-based systems • face recognition • human-centered computing • Human-Computer interaction • Image Processing • image processing and computer vision • Kinship Verification • Occupation Recognition • pattern recognition • Robotics • Social Media • User interface design and usability • user interfaces and human computer interaction
ISBN-10	3-319-34709-8 / 3319347098
ISBN-13	978-3-319-34709-7 / 9783319347097
Zustand	Neuware