Fusion in Computer Vision Understanding Complex Visual Content /

• 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.

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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• Hierarchical Late Fusion for Concept Detection in Videos
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• Evaluating Multimedia Features and Fusion for Example-Based Event Detection
• Rotation-Based Ensemble Classifiers for High Dimensional Data
• Multimodal Fusion in Surveillance Applications
• Multimodal Violence Detection in Hollywood Movies: State-of-the-Art and Benchmarking
• Fusion Techniques in Biomedical Information Retrieval
• Using Crowdsourcing to Capture Complexity in Human Interpretations of Multimedia Content.