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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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Korporativní autor: SpringerLink (Online service)
Další autoři: 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)
Médium: Elektronický zdroj E-kniha
Jazyk:English
Vydáno: Cham : Springer International Publishing : Imprint: Springer, 2014.
Vydání:1st ed. 2014.
Edice:Advances in Computer Vision and Pattern Recognition,
Témata:
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.
On-line přístup: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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