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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 11
3359-3365

Discriminant cross-modal hashing with semantic similarity preservation

Li Xinyong1
Teng Shaohua1
Zhang Wei1
Teng Luyao2
1. School of Computers, Guangdong University of Technology, Guangzhou 510006, China
2. Monash University, Melbourne, Australia
DOI: 10.19734/j.issn.1001-3695.2021.04.0133

Abstract

In order to solve the problem that the label semantic wasn't fully utilized in cross modal hash retrieval method, which led to weak discrimination and low retrieval accuracy of hash code, this paper proposed a hash method named DICH-SSP(discriminant cross-modal hash with semantic similarity preservation). It projected the feature of heterogeneous modalities into a common subspace, and embedded the discriminant information and latent correlation of labels into the common subspace combined with multi-label kernel discriminant analysis. Then, it minimized the quantization error between the common subspace and the hash code to improve the discrimination of the hash code. In addition, this paper constructed the semantic similarity matrix by calculating the similarity between labels. DICH-SSP preserved the semantic similarity into hash codes, which could further improve the retrieval accuracy of hash codes. Extensive experiments on the three benchmark data sets of LabelMe, MIRFlickr-25k, and NUS-WIDE demonstrate the effectiveness of DICH-SSP.

Foundation Support

广东省重点领域研发计划项目(2020B010166006)
国家自然科学基金资助项目(61972102)
广东省教育厅资助项目(粤教高函〔2018〕 179号,粤教高函〔2018〕 1号)
广州市科技计划资助项目(201903010107,2018020 30011,201802010026,201802010042,201604046017)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0133
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Algorithm Research & Explore
Pages: 3359-3365
Serial Number: 1001-3695(2021)11-027-3359-07

Publish History

[2021-11-05] Printed Article

Cite This Article

李鑫勇, 滕少华, 张巍, 等. 语义相似性保持的判别式跨模态哈希 [J]. 计算机应用研究, 2021, 38 (11): 3359-3365. (Li Xinyong, Teng Shaohua, Zhang Wei, et al. Discriminant cross-modal hashing with semantic similarity preservation [J]. Application Research of Computers, 2021, 38 (11): 3359-3365. )

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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