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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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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Outros autores: 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)
Formato: Electrónico eBook
Idioma:English
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Series:Advances in Computer Vision and Pattern Recognition,
Subjects:
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.
Acceso en liña:https://doi.org/10.1007/978-3-319-05696-8
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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.

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