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Human-centered social media analytics / Yun Fu, editor
Livre
Edited by Springer - 2014
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.
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