| 书目名称 | Machine Learning for Multimedia Content Analysis | | 编辑 | Yihong Gong,Wei Xu | | 视频video | | | 概述 | First book dedicated to the multimedia community to address unique problems and interesting applications of machine learning in this area.Includes examples of unsupervised learning, generative models | | 丛书名称 | Multimedia Systems and Applications | | 图书封面 |  | | 描述 | .Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image collectively conveys certain visual content to viewers. A TV video program consists of both audio and image streams that unfold the underlying story. To recognize the visual content of a digital image, or to understand the underlying story of a video program, we may need to label sets of pixels or groups of image and audio frames jointly...Machine Learning for Multimedia Content Analysis. introduces machine learning techniques that are particularly powerful and effective for modeling spatial, temporal structures of multimedia data and for accomplishing common tasks of multimedia content analysis. This book systematically covers these techniques in an intuitive fashion and demonstrates their applications through case studies. This volume uses a large number of figures to illustrate and visualize complex concepts, and provides insights into the characteristics of many algorithms through exam | | 出版日期 | Book 2007 | | 关键词 | DOM; Dimensionsreduktion; Gong; Hidden Markov Model; Machine Learning; Maximum Margin Markov (M3) network | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-69942-4 | | isbn_softcover | 978-1-4419-4353-8 | | isbn_ebook | 978-0-387-69942-4Series ISSN 1568-2358 Series E-ISSN 2945-5715 | | issn_series | 1568-2358 | | copyright | Springer-Verlag US 2007 |
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发表于 2025-3-21 16:58:19
