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Human-Centered Social Media Analytics

  • Yun Fu

Table of contents

  1. Front Matter
    Pages i-viii
  2. Social Relationships in Human-Centered Media

    1. Front Matter
      Pages 1-1
    2. Suman Deb Roy, Tao Mei, Wenjun Zeng
      Pages 3-19
    3. Yi-Liang Zhao, Qiang Chen, Shuicheng Yan, Daqing Zhang, Tat-Seng Chua
      Pages 43-74
    4. Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei
      Pages 75-93
  3. Human Attributes in Social Media Analytics

    1. Front Matter
      Pages 115-115
    2. Gang Wang, Andrew Gallagher, Jiebo Luo, David Forsyth
      Pages 117-131
    3. Jinjun Wang, Yihong Gong, Douglas Gray
      Pages 133-148
    4. Ming Shao, Siyu Xia, Yun Fu
      Pages 175-190
  4. Yi-Liang Zhao, Qiang Chen, Shuicheng Yan, Daqing Zhang, Tat-Seng Chua
    Pages E1-E1
  5. Back Matter
    Pages 207-208

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

  • Yun Fu
    • 1
  1. 1.Dept. of ECE, College of EngineeringNortheastern UniversityBostonUSA

Bibliographic information

  • 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
  • Print ISBN 978-3-319-05490-2
  • Online ISBN 978-3-319-05491-9
  • Buy this book on publisher's site
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