Description
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 Suman Deb Roy, Tao Mei, and Wenjun Zeng Learning Social Relations from Videos: Features, Models and Analytics Lei Ding and Alper Yilmaz Community Understanding in Location-Based Social Networks Yi-Liang Zhao, Qiang Cheng, Shuicheng Yan, Daqing Zhang, and Tat-Seng Chua Social Role Recognition for Human Event Understanding Vignesh Ramanathan, Bangpeng Yao, and Li Fei-Fei Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities Aditya Khosla, Bangpeng Yao, and Li Fei-Fei Part II: Human Attributes in Social Media Analytics Recognizing People in Social Context Gang Wang, Andrew Gallagher, Jiebo Luo, and David Forsyth Female Facial Beauty Attribute Recognition and Editing Jinjun Wang, Yihong Gong, and Douglas Gray Facial Age Estimation: A Data Representation PerspectiveXin Geng Identity and Kinship Relations in Group Pictures Ming Shao, Siyu Xia, and Yun Fu Recognizing Occupations through Probabilistic Models: A Social View Ming Shao and Yun Fu
