| 書目名稱 | Multimedia Data Mining and Analytics | | 副標題 | Disruptive Innovatio | | 編輯 | Aaron K. Baughman,Jiang Gao,Valery A. Petrushin | | 視頻video | http://file.papertrans.cn/641/640587/640587.mp4 | | 概述 | Presents cutting-edge multimedia data mining research, including mobile multimedia.Provides novel insights into the progression of the field, following the theme of disruptive innovation.Bridges compl | | 圖書封面 |  | | 描述 | This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization. | | 出版日期 | Book 2015 | | 關鍵詞 | Audio Recognition; Computer Vision; Disruptive Innovation; Image Processing; Machine Learning; Multi-Moda | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-14998-1 | | isbn_softcover | 978-3-319-34721-9 | | isbn_ebook | 978-3-319-14998-1 | | copyright | Springer International Publishing Switzerland 2015 |
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