research-article

Supervised Hierarchical Online Hashing for Cross-modal Retrieval

Authors:

Kun LongAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications and Applications, Volume 20, Issue 4

Article No.: 103, Pages 1 - 23

https://doi.org/10.1145/3632527

Published: 11 January 2024 Publication History

Abstract

Online cross-modal hashing has gained attention for its adaptability in processing streaming data. However, existing methods only define the hard similarity between data using labels. This results in poor retrieval performance, as they fail to exploit the semantic structure information of labels and miss the high-quality hash codes guided by the hierarchical relevance between labels. In addition, they ignore the bit-flipping problem, which leads to sub-optimal cross-modal retrieval performance. To address these issues, we propose Supervised Hierarchical Online Hashing (SHOH) for cross-modal retrieval. Our approach acquires hierarchical similarity via cross-layer affiliation of labels and explores its application to online hashing. We design a hierarchical similarity learning method in the online learning framework, which includes virtual center learning and hierarchical similarity embedding. Labels with soft similarity bridge the label hierarchy and cross-modal hash embedding. Furthermore, we propose a Weighted Retrieval Strategy (WRS) to mitigate the impact caused by bit-flipping errors. Extensive experiments and verification on hierarchical and non-hierarchical datasets demonstrate that SHOH preserves accurate inter-class distances and achieves performance improvements compared to state-of-the-art methods. The source code is available at https://github.com/HUST-IDSM-AI/SHOH.

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Cited By

Chen YLong YYang ZLong J(2025)Parameter Adaptive Contrastive Hashing for multimedia retrievalNeural Networks10.1016/j.neunet.2024.106923182(106923)Online publication date: Feb-2025
https://doi.org/10.1016/j.neunet.2024.106923
Li YLong JHuang YYang Z(2025)Adaptive Asymmetric Supervised Cross-Modal Hashing with consensus matrixInformation Processing & Management10.1016/j.ipm.2024.10403762:3(104037)Online publication date: May-2025
https://doi.org/10.1016/j.ipm.2024.104037
Chen YLong YYang ZLong J(2025)Unsupervised Adaptive Hypergraph Correlation Hashing for multimedia retrievalInformation Processing & Management10.1016/j.ipm.2024.10395862:2(103958)Online publication date: Mar-2025
https://doi.org/10.1016/j.ipm.2024.103958
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Index Terms

Supervised Hierarchical Online Hashing for Cross-modal Retrieval
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning
2. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
      1. Similarity measures

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cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 20, Issue 4

April 2024

676 pages

EISSN:1551-6865

DOI:10.1145/3613617

Editor:
Abdulmotaleb El Saddik
Mohamed Bin Zayed University of Artificial Intelligence, UAE and University of Ottawa, Canada

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Publication History

Published: 11 January 2024

Online AM: 13 November 2023

Accepted: 26 October 2023

Revised: 19 September 2023

Received: 17 May 2023

Published in TOMM Volume 20, Issue 4

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National Natural Science Foundation of China
Natural Science Foundation of Hubei Province

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Cited By

Chen YLong YYang ZLong J(2025)Parameter Adaptive Contrastive Hashing for multimedia retrievalNeural Networks10.1016/j.neunet.2024.106923182(106923)Online publication date: Feb-2025
https://doi.org/10.1016/j.neunet.2024.106923
Li YLong JHuang YYang Z(2025)Adaptive Asymmetric Supervised Cross-Modal Hashing with consensus matrixInformation Processing & Management10.1016/j.ipm.2024.10403762:3(104037)Online publication date: May-2025
https://doi.org/10.1016/j.ipm.2024.104037
Chen YLong YYang ZLong J(2025)Unsupervised Adaptive Hypergraph Correlation Hashing for multimedia retrievalInformation Processing & Management10.1016/j.ipm.2024.10395862:2(103958)Online publication date: Mar-2025
https://doi.org/10.1016/j.ipm.2024.103958
Chen YLong YYang ZLong J(2025)Unsupervised random walk manifold contrastive hashing for multimedia retrievalComplex & Intelligent Systems10.1007/s40747-025-01814-y11:4Online publication date: 28-Feb-2025
https://doi.org/10.1007/s40747-025-01814-y
Zuo RZheng CLi FZhu LZhang Z(2024)Privacy-Enhanced Prototype-Based Federated Cross-Modal Hashing for Cross-Modal RetrievalACM Transactions on Multimedia Computing, Communications, and Applications10.1145/367450720:9(1-19)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1145/3674507
Xu LLi HZheng BLi WLv J(2024)Deep Lifelong Cross-Modal HashingIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2024.345049034:12_Part_2(13478-13493)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1109/TCSVT.2024.3450490
Kang XLiu XZhang XXue WNie XWang SYin Y(2024)Unsupervised Online Cross-modal Hashing With Multiple Association Exploitation2024 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME57554.2024.10688371(1-6)Online publication date: 15-Jul-2024
https://doi.org/10.1109/ICME57554.2024.10688371
Chen YLong JGuo LYang Z(2024)Supervised Semantic-Embedded Hashing for Multimedia RetrievalKnowledge-Based Systems10.1016/j.knosys.2024.112023299(112023)Online publication date: Sep-2024
https://doi.org/10.1016/j.knosys.2024.112023
Fan WYang CLuo KZhang MLi H(2024)Category correlations embedded semantic centers hashing for cross-modal retrievalInformation Sciences10.1016/j.ins.2024.121262683(121262)Online publication date: Nov-2024
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Xu LLi HShao JZeng XLi W(undefined)Multi-scale Consistency Deep Lifelong Cross-modal HashingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/3704636
https://dl.acm.org/doi/10.1145/3704636

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