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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

SADIH: Semantic-Aware DIscrete Hashing

February 1, 2023

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Authors

Zheng Zhang

The University of Queensland


Guo-sen Xie

Inception Institute of Artificial Intelligence


Yang Li

The University of Queensland


Sheng Li

University of Georgia


Zi Huang

The University of Queensland


DOI:

10.1609/aaai.v33i01.33015853


Abstract:

Due to its low storage cost and fast query speed, hashing has been recognized to accomplish similarity search in largescale multimedia retrieval applications. Particularly, supervised hashing has recently received considerable research attention by leveraging the label information to preserve the pairwise similarities of data points in the Hamming space. However, there still remain two crucial bottlenecks: 1) the learning process of the full pairwise similarity preservation is computationally unaffordable and unscalable to deal with big data; 2) the available category information of data are not well-explored to learn discriminative hash functions. To overcome these challenges, we propose a unified Semantic-Aware DIscrete Hashing (SADIH) framework, which aims to directly embed the transformed semantic information into the asymmetric similarity approximation and discriminative hashing function learning. Specifically, a semantic-aware latent embedding is introduced to asymmetrically preserve the full pairwise similarities while skillfully handle the cumbersome n×n pairwise similarity matrix. Meanwhile, a semantic-aware autoencoder is developed to jointly preserve the data structures in the discriminative latent semantic space and perform data reconstruction. Moreover, an efficient alternating optimization algorithm is proposed to solve the resulting discrete optimization problem. Extensive experimental results on multiple large-scale datasets demonstrate that our SADIH can clearly outperform the state-of-the-art baselines with the additional benefit of lower computational costs.

Topics: AAAI

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HOW TO CITE:

Zheng Zhang||Guo-sen Xie||Yang Li||Sheng Li||Zi Huang SADIH: Semantic-Aware DIscrete Hashing Proceedings of the AAAI Conference on Artificial Intelligence (2019) 5853-5860.

Zheng Zhang||Guo-sen Xie||Yang Li||Sheng Li||Zi Huang SADIH: Semantic-Aware DIscrete Hashing AAAI 2019, 5853-5860.

Zheng Zhang||Guo-sen Xie||Yang Li||Sheng Li||Zi Huang (2019). SADIH: Semantic-Aware DIscrete Hashing. Proceedings of the AAAI Conference on Artificial Intelligence, 5853-5860.

Zheng Zhang||Guo-sen Xie||Yang Li||Sheng Li||Zi Huang. SADIH: Semantic-Aware DIscrete Hashing. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.5853-5860.

Zheng Zhang||Guo-sen Xie||Yang Li||Sheng Li||Zi Huang. 2019. SADIH: Semantic-Aware DIscrete Hashing. "Proceedings of the AAAI Conference on Artificial Intelligence". 5853-5860.

Zheng Zhang||Guo-sen Xie||Yang Li||Sheng Li||Zi Huang. (2019) "SADIH: Semantic-Aware DIscrete Hashing", Proceedings of the AAAI Conference on Artificial Intelligence, p.5853-5860

Zheng Zhang||Guo-sen Xie||Yang Li||Sheng Li||Zi Huang, "SADIH: Semantic-Aware DIscrete Hashing", AAAI, p.5853-5860, 2019.

Zheng Zhang||Guo-sen Xie||Yang Li||Sheng Li||Zi Huang. "SADIH: Semantic-Aware DIscrete Hashing". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.5853-5860.

Zheng Zhang||Guo-sen Xie||Yang Li||Sheng Li||Zi Huang. "SADIH: Semantic-Aware DIscrete Hashing". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 5853-5860.

Zheng Zhang||Guo-sen Xie||Yang Li||Sheng Li||Zi Huang. SADIH: Semantic-Aware DIscrete Hashing. AAAI[Internet]. 2019[cited 2023]; 5853-5860.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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101, Palo Alto, California 94303 All Rights Reserved

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