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App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 2

Efficient semantic image retrieval paradigm via asymmetric framework

Wang Yueyun
Huang Hua
Shanghai Open University Pudong South School, Shanghai 201399, China
DOI: 10.19734/j.issn.1001-3695.2025.05.0226

Abstract

This study proposes OnlyGlobal, an asymmetric global feature retrieval paradigm, to address the computational redundancy and poor scalability inherent in the two-stage global feature matching and re-ranking framework for image retrieval. We design a collaborative optimization framework that integrates multi-modal feature fusion on the offline gallery side with lightweight processing on the online query side, transforming the advantages of traditional re-ranking into offline feature enhancement. Our method first constructs a multi-granularity feature space by applying multi-scale transformation and semantic segmentation to gallery images offline. It then introduces a keypoint heatmap-guided feature enhancement mechanism to strengthen discriminative region representation by suppressing background noise. Finally, it generates enhanced gallery features using adaptive feature aggregation, establishing a dimensionally consistent asymmetric matching model. Experiments demonstrate that our approach achieves significant performance gains over state-of-the-art methods while maintaining the simplicity of a single-stage architecture. By eliminating online multi-scale processing and re-ranking computation, our method improves query feature extraction efficiency by over 300% and achieves order-of-magnitude speedup in matching. The work provides a viable technical pathway for deploying billion-scale image retrieval systems.

Foundation Support

2024年上海市高等教育学会课题(1QYB24014)
2024年上海开放大学新进人员科研扶持项目(XJ2404)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.05.0226
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 2

Publish History

[2025-11-03] Accepted Paper

Cite This Article

王越芸, 黄华. 基于非对称框架的高效图像语义检索范式 [J]. 计算机应用研究, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.05.0226. (Wang Yueyun, Huang Hua. Efficient semantic image retrieval paradigm via asymmetric framework [J]. Application Research of Computers, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.05.0226. )

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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