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Titlebook: Computational Intelligence for Multimedia Understanding; International Worksh Emanuele Salerno,A. Enis Çetin,Ovidio Salvetti Conference pro

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发表于 2025-3-21 18:46:09 | 显示全部楼层 |阅读模式
书目名称Computational Intelligence for Multimedia Understanding
副标题International Worksh
编辑Emanuele Salerno,A. Enis Çetin,Ovidio Salvetti
视频video
概述Fast-track conference proceedings.State-of-the-art research.Up-to-date results
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Intelligence for Multimedia Understanding; International Worksh Emanuele Salerno,A. Enis Çetin,Ovidio Salvetti Conference pro
描述This book constitutes the refereed proceedings of the International Workshop MUSCLE 2011 on Computational Intelligence for Multimedia Understanding, organized by the ERCIM working group in Pisa, Italy on December 2011. The 18 revised full papers were carefully reviewed and selected from over numerous submissions. The papers cover the following topics: multisensor systems, multimodal analysis, crossmodel data analysis and clustering, mixed-reality applications, activity and object detection and recognition, text and speech recognition, multimedia labelling, semantic annotation, and metadata, multimodal indexing and searching in very large data-bases; and case studies.
出版日期Conference proceedings 2012
关键词classification; image analysis; meaning and semantics; texture modeling; video
版次1
doihttps://doi.org/10.1007/978-3-642-32436-9
isbn_softcover978-3-642-32435-2
isbn_ebook978-3-642-32436-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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Bidirectional Texture Function Simultaneous Autoregressive Model, autoregressive models (SAR). This complex but efficient BTF-SAR model combines several multispectral band limited spatial factors and range map sub-models to produce the required BTF texture space. The BTF-SAR model enables very high BTF space compression ratio, texture enlargement, and reconstruction of missing unmeasured parts of the BTF space.
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Stratabound Ore Deposits in the Andes autoregressive models (SAR). This complex but efficient BTF-SAR model combines several multispectral band limited spatial factors and range map sub-models to produce the required BTF texture space. The BTF-SAR model enables very high BTF space compression ratio, texture enlargement, and reconstruction of missing unmeasured parts of the BTF space.
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0302-9743 text and speech recognition, multimedia labelling, semantic annotation, and metadata, multimodal indexing and searching in very large data-bases; and case studies.978-3-642-32435-2978-3-642-32436-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Die genetischen Systeme der Pflanzenzelle Such an ontology has the peculiarity of cataloguing features, modelling the image analysis domain and being integrated with a library of image processing algorithms, thus supplying functionalities for supporting feature selection and computation.
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