Fusion in Computer Vision Understanding Complex Visual Content /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ionescu, Bogdan (Editor), Benois-Pineau, Jenny (Editor), Piatrik, Tomas (Editor), Quénot, Georges (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: Advances in Computer Vision and Pattern Recognition,
• Subjects: 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...

Table of Contents:

• A Selective Weighted Late Fusion for Visual Concept Recognition
• Bag-of-Words Image Representation: Key Ideas and Further Insight
• Hierarchical Late Fusion for Concept Detection in Videos
• Fusion of Multiple Visual Cues for Object Recognition in Video
• 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.