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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 6
1645-1650,1672

Semantics embedding and reconstructing for cross-modal hashing retrieval

Xu Xuangan1a
Fang Xiaozhao1b
Sun Weijun1b
Han Na2
Wu Huilin3
Huang Yonghui1b
1. a. School of Computer, b. School of Automation, Guangdong University of Technology, Guangzhou 510006, China
2. School of Computer Science, Guangdong Normal University of Technology, Guangzhou 510006, China
3. Guangzhou National Science & Technology Innovation Center of Modern Agricultural Industry, Guangzhou 510500, China
DOI: 10.19734/j.issn.1001-3695.2021.10.0608

Abstract

In order to solve the problem that most cross modal hash retrieval method only decompose the similarity matrix or label matrix, which led to insufficient utilization of label semantic information, loss of semantic information in the decomposition process of label matrix and weak discrimination of hash code, this paper proposed a hash method named SERCH(semantics embedding and reconstructing hashing). Firstly, it minimized the distance difference between the pairwise distances of label and hash code to embed the pairwise similarity of label matrix into hash code. Then, it decomposed and reconstructed the label matrix to obtain the common subspace, and regressed the common subspace to generate the hash code, so as to embed the category information into hash code, effectively controlled the loss of semantic information in matrix decomposition process, and further improved the discrimination of hash code. Extensive experiments were carried out on three benchmark data sets, and the experimental results demonstrate the effectiveness of SERCH.

Foundation Support

广东省重点领域研发计划项目(2019B010121001)
国家自然科学基金面上项目(61772141,62006048,61972102)
科技部国家重点研发计划项目(2018YFB1802400)
广东省科技计划项目(2021A1515012017,2019B110210002,2019B020208001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0608
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Algorithm Research & Explore
Pages: 1645-1650,1672
Serial Number: 1001-3695(2022)06-007-1645-06

Publish History

[2022-01-17] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

许炫淦, 房小兆, 孙为军, 等. 语义嵌入重构的跨模态哈希检索 [J]. 计算机应用研究, 2022, 39 (6): 1645-1650,1672. (Xu Xuangan, Fang Xiaozhao, Sun Weijun, et al. Semantics embedding and reconstructing for cross-modal hashing retrieval [J]. Application Research of Computers, 2022, 39 (6): 1645-1650,1672. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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