Human-Centered Social Media Analytics
- 4h 12m
- Yun Fu (ed)
- 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.
In this Book
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Bridging Human-Centered Social Media Content Across Web Domains
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Learning Social Relations from Videos: Features, Models, and Analytics
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Community Understanding in Location-based Social Networks
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Social Role Recognition for Human Event Understanding
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Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities
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Recognizing People in Social Context
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Female Facial Beauty Attribute Recognition and Editing
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Facial Age Estimation: A Data Representation Perspective
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Identity and Kinship Relations in Group Pictures
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Recognizing Occupations Through Probabilistic Models: A Social View
