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Titlebook: Multimedia Retrieval; Henk M. Blanken,Henk Ernst Blok,Arjen P. Vries Textbook 2007 Springer-Verlag Berlin Heidelberg 2007 Audio Data.Compu

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發(fā)表于 2025-3-21 18:43:37 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Multimedia Retrieval
編輯Henk M. Blanken,Henk Ernst Blok,Arjen P. Vries
視頻videohttp://file.papertrans.cn/641/640619/640619.mp4
概述Only up-to-date textbook for multimedia information retrieval.Complete coverage of all media types.Solid mathematical foundations combined with application relevance.Detailed suggestions for further r
叢書名稱Data-Centric Systems and Applications
圖書封面Titlebook: Multimedia Retrieval;  Henk M. Blanken,Henk Ernst Blok,Arjen P. Vries Textbook 2007 Springer-Verlag Berlin Heidelberg 2007 Audio Data.Compu
描述.Retrieval of multimedia data is different from retrieval of structured data. A key problem in multimedia databases is search, and the proposed solutions to the problem of multimedia information retrieval span a rather wide spectrum of topics outside the traditional database area, ranging from information retrieval and human–computer interaction to computer vision and pattern recognition....Based on more than 10 years of teaching experience, Blanken and his coeditors have assembled all the topics that should be covered in advanced undergraduate or graduate courses on multimedia retrieval and multimedia databases. The single chapters of this textbook explain the general architecture of multimedia information retrieval systems; various metadata languages like Dublin Core, RDF, or MPEG; pattern recognition through Markov models, unsupervised learning, and pattern clustering; various indexing approaches to audio and video streams; interaction and control; the protection of content and user privacy; and search effectiveness and efficiency. The authors emphasize high-level features and show how these features are used in mathematical models to support the retrieval process. For each chap
出版日期Textbook 2007
關(guān)鍵詞Audio Data; Computer Vision; Digital Rights Management; Image Data; Image Processing; MPEG; Markov Model; M
版次1
doihttps://doi.org/10.1007/978-3-540-72895-5
isbn_softcover978-3-642-09199-5
isbn_ebook978-3-540-72895-5Series ISSN 2197-9723 Series E-ISSN 2197-974X
issn_series 2197-9723
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

書目名稱Multimedia Retrieval影響因子(影響力)




書目名稱Multimedia Retrieval影響因子(影響力)學(xué)科排名




書目名稱Multimedia Retrieval網(wǎng)絡(luò)公開度




書目名稱Multimedia Retrieval網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Multimedia Retrieval被引頻次學(xué)科排名




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Multimedia Retrieval978-3-540-72895-5Series ISSN 2197-9723 Series E-ISSN 2197-974X
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Data-Centric Systems and Applicationshttp://image.papertrans.cn/n/image/640619.jpg
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https://doi.org/10.1007/978-3-540-72895-5Audio Data; Computer Vision; Digital Rights Management; Image Data; Image Processing; MPEG; Markov Model; M
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Textbook 2007g approaches to audio and video streams; interaction and control; the protection of content and user privacy; and search effectiveness and efficiency. The authors emphasize high-level features and show how these features are used in mathematical models to support the retrieval process. For each chap
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Textbook 2007ons to the problem of multimedia information retrieval span a rather wide spectrum of topics outside the traditional database area, ranging from information retrieval and human–computer interaction to computer vision and pattern recognition....Based on more than 10 years of teaching experience, Blan
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2197-9723 ith application relevance.Detailed suggestions for further r.Retrieval of multimedia data is different from retrieval of structured data. A key problem in multimedia databases is search, and the proposed solutions to the problem of multimedia information retrieval span a rather wide spectrum of topi
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