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Associating Images with Sentences Using Recurrent Canonical Correlation Analysis

文献类型：期刊论文

作者Guo, Yawen2; Yuan, Hui1,3; Zhang, Kun3
刊名APPLIED SCIENCES-BASEL
出版日期2020-08-01
卷号10期号:16页码:14
关键词image retrieval image and sentence matching canonical correlation analysis
DOI10.3390/app10165516
通讯作者Guo, Yawen(yavinguo@outlook.com)
英文摘要Associating images with sentences has drawn much attention recently. Existing methods commonly represent an image by indistinctively describing all its contents in an one-time static way, which ignores two facts that (1) the association analysis can only be effective for partial salient contents and the associated sentence, and (2) visual information acquisition is a dynamical rather than static process. To deal with this issue, we propose a recurrent canonical correlation analysis (RCCA) method for associating images with sentences. RCCA includes a contextual attention-based LSTM-RNN which can selectively attend to salient regions of an image at each time step, and then represent all the salient contents within a few steps. Different from existing attention-based models, our model focuses on the modelling of contextual visual attention mechanism for the task of association analysis. RCCA also includes a conventional LSTM-RNN for sentence representation learning. The resulting representations of images and sentences are fed into CCA to maximize linear correlation, where parameters of LSTM-RNNs and CCA are jointly learned. Due to the effective image representation learning, our model can well associate images with sentences with complex contents, and achieve better performance in terms of image annotation and retrieval.
WOS研究方向Chemistry ; Engineering ; Materials Science ; Physics
语种英语
出版者MDPI
WOS记录号WOS:000564772700001
源URL[http://ir.ia.ac.cn/handle/173211/41516]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
通讯作者Guo, Yawen
作者单位1.Xiangtan Univ, Coll Automat & Elect Informat, Xiangtan 411105, Peoples R China
2.Chinese Acad Sci, Inst Biophys, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Guo, Yawen,Yuan, Hui,Zhang, Kun. Associating Images with Sentences Using Recurrent Canonical Correlation Analysis[J]. APPLIED SCIENCES-BASEL,2020,10(16):14.
APA Guo, Yawen,Yuan, Hui,&Zhang, Kun.(2020).Associating Images with Sentences Using Recurrent Canonical Correlation Analysis.APPLIED SCIENCES-BASEL,10(16),14.
MLA Guo, Yawen,et al."Associating Images with Sentences Using Recurrent Canonical Correlation Analysis".APPLIED SCIENCES-BASEL 10.16(2020):14.

入库方式： OAI收割

来源：自动化研究所

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