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检索条件"机构=Multimedia Communication and Pattern Recognition Lab"
4 条 记 录,以下是1-10 订阅
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BUPt-MCPRL at TRECVID 2019: AcTEV and INS
BUPt-MCPRL at TRECVID 2019: AcTEV and INS
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2019 TREC Video Retrieval Evaluation, TRECVID 2019
作者: Li, Ya Chen, Guanyu Cheng, Xiangqian Chen, Chong Xu, Shaoqiang Li, Xinyu Xiang, Xuanlu Zhao, Yanyun Zhao, Zhicheng Su, Fei Multimedia Communication and Pattern Recognition Lab Beijing Key Laboratory of Network System Network Culture Beijing University of Posts and Telecommunications China
In this paper, we describe BUPT-MCPRL systems and evaluation results for TRECVID 2019 [14]. We join two tasks: activities in extended video and instance search. Activities in Extended Video (ActEV): p_baseline_2: the ...
来源: 评论
BUPt-MCPRL at TRECVID 2018: AcTEV and INS
BUPt-MCPRL at TRECVID 2018: AcTEV and INS
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2018 TREC Video Retrieval Evaluation, TRECVID 2018
作者: Cao, Xinkun Wang, Zhipeng Li, Peng Xiang, Xuanlu Li, Xinyu Li, Ya Xu, Shaoqiang Zhou, Liang Zhao, Zhicheng Zhao, Yanyun Su, Fei Multimedia Communication Pattern Recognition Lab Beijing Key Laboratory of Network System and Network Culture Beijing Beijing University of Posts and Telecommunications Beijing China
In this paper, we describe BUPT-MCPRL systems and evaluation results for TRECVID 2018 [15]. We join two tasks: activities in extended video and instance search. Activities in Extended Video (ActEV): we mainly improve ... 详细信息
来源: 评论
AN EFFECTIVE GABOR-FEATURE SELECTION METHOD FOR FACE recognition
AN EFFECTIVE GABOR-FEATURE SELECTION METHOD FOR FACE RECOGNI...
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2009 IEEE International Conference on Network Infrastructure and Digital Content(2009年IEEE网络基础设施与数字内容国际会议 IEEE IC-NIDC2009)
作者: Geng Du Liming Gong Fei Su Multimedia Communication and Pattern Recognition Lab School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing
Gabor Feature extracted by Gabor wavelet is widely used in face recognition and proved efficiency. But the dimension of the Gabor feature vector is so high that makes it very hardly to compute and store the feature di... 详细信息
来源: 评论
Benchmarking super-resolution algorithms on real data
arXiv
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arXiv 2017年
作者: Köhler, Thomas Bätz, Michel Naderi, Farzad Kaup, André Maier, Andreas K. Riess, Christian Pattern Recognition Lab Dept. of Computer Science Multimedia Communications and Signal Processing Dept. of Electrical Electronic and Communication Engineering Erlangen-Nürnberg Erlangen Germany
Over the past decades, various super-resolution (SR) techniques have been developed to enhance the spatial resolution of digital images. Despite the great number of methodical contributions, there is still a lack of c... 详细信息
来源: 评论