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Table of contents
About this book
Introduction
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 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
- 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.Keywords
Age Estimation Big Data Computer Vision Demographic Sensing Face Recognition Human-Centered Computing Human-Computer Interaction Image Processing Kinship Verification Occupation Recognition Pattern Recognition Social Media
Editors and affiliations
Bibliographic information
- Book Title Human-Centered Social Media Analytics
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Editors
Yun Fu
- DOI https://doi.org/10.1007/978-3-319-05491-9
- Copyright Information Springer International Publishing Switzerland 2014
- Publisher Name Springer, Cham
- eBook Packages Computer Science Computer Science (R0)
- Hardcover ISBN 978-3-319-05490-2
- Softcover ISBN 978-3-319-34709-7
- eBook ISBN 978-3-319-05491-9
- Edition Number 1
- Number of Pages VIII, 208
- Number of Illustrations 46 b/w illustrations, 51 illustrations in colour
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Topics
Biometrics
Data Mining and Knowledge Discovery
User Interfaces and Human Computer Interaction
Artificial Intelligence
Image Processing and Computer Vision
- Buy this book on publisher's site
Reviews
“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)