{"product_id":"human-centered-social-media-analytics-9783319054902","title":"Human-Centered Social Media Analytics","description":"\u003cp\u003e • Author(s): Yun Fu\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Artificial Intelligence - Computer Vision \u0026amp; Pattern Recognit\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eUtilizing the ubiquity of social media in modern society, the emerging interdisciplinary field of social computing offers the promise of important human-centered applications. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eHuman-Centered Social Media Analytics\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eIncludes perspectives from an international and interdisciplinary selection of pre-eminent authorities\u003c\/li\u003e\n\u003cli\u003ePresents balanced coverage of both detailed theoretical analysis and real-world applications\u003c\/li\u003e\n\u003cli\u003eExamines social relationships in human-centered media for the development of socially-aware video, location-based, and multimedia applications\u003c\/li\u003e\n\u003cli\u003eReviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities\u003c\/li\u003e\n\u003cli\u003eDiscusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation\u003c\/li\u003e\n\u003cli\u003eRequires no prior background knowledge of the area\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cb\u003eDr. Yun Fu\u003c\/b\u003e 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.","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45277330014359,"sku":"9783319054902","price":3633.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319054902.webp?v=1769288078","url":"https:\/\/atlanticbooks.com\/products\/human-centered-social-media-analytics-9783319054902","provider":"Atlantic Books","version":"1.0","type":"link"}