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Fusion in Computer Vision Understanding Complex Visual Content /

Visual content understanding is a complex and important challenge for applications in automatic multimedia information indexing, medicine, robotics, and surveillance. Yet the performance of such systems can be improved by the fusion of individual modalities/techniques for content representation and...

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企业作者: SpringerLink (Online service)
其他作者: Ionescu, Bogdan. (Editor, http://id.loc.gov/vocabulary/relators/edt), Benois-Pineau, Jenny. (Editor, http://id.loc.gov/vocabulary/relators/edt), Piatrik, Tomas. (Editor, http://id.loc.gov/vocabulary/relators/edt), Quénot, Georges. (Editor, http://id.loc.gov/vocabulary/relators/edt)
格式: 电子 电子书
语言:English
出版: Cham : Springer International Publishing : Imprint: Springer, 2014.
版:1st ed. 2014.
丛编:Advances in Computer Vision and Pattern Recognition,
主题:
Optical data processing.
Multimedia information systems.
Artificial intelligence.
Data mining.
Image Processing and Computer Vision.
Multimedia Information Systems.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
在线阅读:https://doi.org/10.1007/978-3-319-05696-8
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https://doi.org/10.1007/978-3-319-05696-8

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