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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| 企業作者: | |
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| 其他作者: | , , , |
| 格式: | 電子 電子書 |
| 語言: | English |
| 出版: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| 版: | 1st ed. 2014. |
| 叢編: | Advances in Computer Vision and Pattern Recognition,
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| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/978-3-319-05696-8 |
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書本目錄:
- 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.