Abstract
Existing online cross-modal hashing methods often treat the semantic label categories independently to correlate the semantically similar data instances, which intrinsically ignore the potential dependency between the label categories and thus fail to capture the discriminative information in the hash code learning process. To alleviate this concern, we explore the inter-dependency between the label categories through their co-occurrence correlation from the label set, and present an efficient Label-Semantic-Enhanced Online Hashing (LSE-OH) method for various cross-modal retrieval task. To be specific, the proposed framework integrates the instance-wise similarity and label-category affinity to incrementally learn the discriminative hash codes for the current arriving data, while updating the hash functions at a streaming manner. Further, an iterative discrete optimization algorithm is derived to mine the inter-dependency between the label categories and discriminatively learn the hash codes without relaxation. Accordingly, the hash codes are adaptively learned online with the high discriminative capability and inter-dependency, while avoiding high computation complexity to process the streaming data. Experimental results show its outstanding performance in comparison with the-state-of-arts.
Original language | English |
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Title of host publication | Proceedings - 2023 IEEE International Conference on Multimedia and Expo, ICME 2023 |
Publisher | IEEE |
Pages | 984-989 |
Number of pages | 6 |
ISBN (Electronic) | 9781665468916 |
ISBN (Print) | 9781665468923 |
DOIs | |
Publication status | Published - 10 Jul 2023 |
Event | 2023 IEEE International Conference on Multimedia and Expo, ICME 2023 - Brisbane Convention & Exhibition Centre, Brisbane, Australia Duration: 10 Jul 2023 → 14 Jul 2023 https://www.2023.ieeeicme.org/index.php https://www.2023.ieeeicme.org/program.php https://ieeexplore.ieee.org/xpl/conhome/10219544/proceeding |
Publication series
Name | Proceedings - IEEE International Conference on Multimedia and Expo |
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Volume | 2023-July |
ISSN (Print) | 1945-7871 |
ISSN (Electronic) | 1945-788X |
Conference
Conference | 2023 IEEE International Conference on Multimedia and Expo, ICME 2023 |
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Country/Territory | Australia |
City | Brisbane |
Period | 10/07/23 → 14/07/23 |
Internet address |
Scopus Subject Areas
- Computer Networks and Communications
- Computer Science Applications
User-Defined Keywords
- category latent correlation
- cross-modal retrieval
- Online supervised hashing
- similarity search