Fusion in Computer Vision Understanding Complex Visual Content /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Άλλοι συγγραφείς:	Ionescu, Bogdan (Επιμελητής έκδοσης), Benois-Pineau, Jenny (Επιμελητής έκδοσης), Piatrik, Tomas (Επιμελητής έκδοσης), Quénot, Georges (Επιμελητής έκδοσης)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Cham : Springer International Publishing : Imprint: Springer, 2014.
Σειρά:	Advances in Computer Vision and Pattern Recognition,
Θέματα:	Computer science. Data mining. Multimedia information systems. Artificial intelligence. Image processing. Computer Science. Image Processing and Computer Vision. Multimedia Information Systems. Artificial Intelligence (incl. Robotics). Data Mining and Knowledge Discovery.
Διαθέσιμο Online:	Full Text via HEAL-Link

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