Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 4
1265-1269

Cross-media retrieval technology based on dictionary learning

Qi Yudan
Zhang Huaxiang
Liu Yihe
School of Information Science & Engineering, Shandong Normal University, Jinan 250358, China
DOI: 10.19734/j.issn.1001-3695.2017.10.0974

Abstract

In the study of cross-media retrieval, how to capture and correlate heterogeneous features originating from different modalities remains a challenge. To cope with the aforementioned problems, this paper presented a novel cross-modal retrieval framework based on coupled dictionary learning. Firstly, it obtained sparse coefficients from different modalities by imposing dictionary learning. Then, it projected the data samples from different modalities into a common feature space. Moreover, it leveraged label information to align the cross-modal data sample pairs in the common space so as to encourage the inherent correlation across the different modalities. Simulation experimental results show that the method based on dictionary learning algorithm has superior recognition performance in comparison with the methods based on traditional mid-level feature subspace. Experiment results on two public datasets demonstrate that this method outperforms several state-of-the-art methods.

Foundation Support

国家自然科学基金资助项目(61373081)
山东省泰山学者资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.0974
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Technology of Graphic & Image
Pages: 1265-1269
Serial Number: 1001-3695(2019)04-068-1265-05

Publish History

[2019-04-05] Printed Article

Cite This Article

戚玉丹, 张化祥, 刘一鹤. 基于字典学习的跨媒体检索技术 [J]. 计算机应用研究, 2019, 36 (4): 1265-1269. (Qi Yudan, Zhang Huaxiang, Liu Yihe. Cross-media retrieval technology based on dictionary learning [J]. Application Research of Computers, 2019, 36 (4): 1265-1269. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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