| 書目名稱 | Content-Based Video Retrieval | | 副標(biāo)題 | A Database Perspecti | | 編輯 | Milan Petkovi?,Willem Jonker | | 視頻video | http://file.papertrans.cn/237/236814/236814.mp4 | | 叢書名稱 | Multimedia Systems and Applications | | 圖書封面 |  | | 描述 | The area of content-based video retrieval is a very hot area both for research and for commercial applications. In order to design effective video databases for applications such as digital libraries, video production, and a variety of Internet applications, there is a great need to develop effective techniques for content-based video retrieval. One of the main issues in this area of research is how to bridge the semantic gap between low-Ievel features extracted from a video (such as color, texture, shape, motion, and others) and semantics that describe video concept on a higher level. In this book, Dr. Milan Petkovi6 and Prof. Dr. Willem Jonker have addressed this issue by developing and describing several innovative techniques to bridge the semantic gap. The main contribution of their research, which is the core of the book, is the development of three techniques for bridging the semantic gap: (1) a technique that uses the spatio-temporal extension of the Cobra framework, (2) a technique based on hidden Markov models, and (3) a technique based on Bayesian belief networks. To evaluate performance of these techniques, the authors have conducted a number of experiments using real vi | | 出版日期 | Book 2004 | | 關(guān)鍵詞 | DBMS; communication; computer science; database; digital libraries; information; modeling; video | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-4865-9 | | isbn_softcover | 978-1-4419-5396-4 | | isbn_ebook | 978-1-4757-4865-9Series ISSN 1568-2358 Series E-ISSN 2945-5715 | | issn_series | 1568-2358 | | copyright | Springer Science+Business Media New York 2004 |
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