| 書目名稱 | Fusion in Computer Vision |
| 副標(biāo)題 | Understanding Comple |
| 編輯 | Bogdan Ionescu,Jenny Benois-Pineau,Georges Quénot |
| 視頻video | http://file.papertrans.cn/351/350956/350956.mp4 |
| 概述 | Examines information fusion in the context of multimodal and multidimensional data representation, i.e., video, image and text.Presents a focus on information fusion for tackling higher-level descript |
| 叢書名稱 | Advances in Computer Vision and Pattern Recognition |
| 圖書封面 |  |
| 描述 | This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of international benchmarks that model realistic use cases. Features: examines late fusion approaches for concept recognition in images and videos; describes the interpretation of visual content by incorporating models of the human visual system with content understanding methods; investigates the fusion of multi-modal features of different semantic levels, as well as results of semantic concept detections, for example-based event recognition in video; proposes rotation-based ensemble classifiers for high-dimensional data, which encourage both individual accuracy and diversity within the ensemble; reviews application-focused strategies of fusion in video surveillance, biomedical information retrieval, and content detection in movies; discusses the modeling of mechanisms of human interpretation of complex visual content. |
| 出版日期 | Book 2014 |
| 關(guān)鍵詞 | Bagging and Boosting Methods; Contextual Fusion; Data Dimensionality Reduction; Early Fusion; Feature Fu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-05696-8 |
| isbn_softcover | 978-3-319-34774-5 |
| isbn_ebook | 978-3-319-05696-8Series ISSN 2191-6586 Series E-ISSN 2191-6594 |
| issn_series | 2191-6586 |
| copyright | Springer International Publishing Switzerland 2014 |
|Archiver|手機(jī)版|小黑屋|
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