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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| Соавтор: | |
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| Другие авторы: | , , , |
| Формат: | Электронный ресурс eКнига |
| Язык: | English |
| Опубликовано: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Редактирование: | 1st ed. 2014. |
| Серии: | Advances in Computer Vision and Pattern Recognition,
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| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-3-319-05696-8 |
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Оглавление:
- 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.