Semantic annotation for complex video street views based on 2D-3D multi-feature fusion and aggregated boosting decision forests
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- 作者：Xun Wanga ; wx@zjgsu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Guoli Yana ; 1327237426@qq.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Huiyan Wanga ; cederic@zjgsu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jianhai Fua ; 15138469880@163.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jing Huaa ; b ; jinghua@wayne.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jingqi Wangc ; wangjingqi555@163.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Yutao Yanga ; 1121082097@163.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Guofeng Zhangd ; zhangguofeng@cad.zju.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Hujun Baod ; bao@cad.zju.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Semantic annotation ; Superpixel segmentation ; 2D&ndash ; 3D feature fusion ; ABDF model
- 刊名：Pattern Recognition
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：62
- 期：Complete
- 页码：189-201
- 全文大小：4820 K
文摘
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2D and 3D superpixel features for object representation.
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A modified aggregated boosting decision forest for fast and accurate classification.
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Only a small amount of samples for building classification model.
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An effective tool for accurate and efficient semantic annotation of complex street views.
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Better performance in accuracy, robustness and computation efficiency.