Human-Centered Social Media Analytics
Springer International Publishing (Verlag)
978-3-319-05490-2 (ISBN)
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.
"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)
Erscheint lt. Verlag | 7.4.2014 |
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Zusatzinfo | VIII, 208 p. 97 illus., 51 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 443 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | 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 |
ISBN-10 | 3-319-05490-2 / 3319054902 |
ISBN-13 | 978-3-319-05490-2 / 9783319054902 |
Zustand | Neuware |
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