In this paper, we study the cross media indexing problem by learning the discriminative hashing functions to map the multi-view datum into a shared hamming ...

ABSTRACT. Cross media retrieval engines have gained massive popularity with rapid development of the Internet. Users may perform queries in.

In this paper, we study the cross media indexing problem by learning the discriminative hashing functions to map the multi-view datum into a shared hamming ...

Abstract—We employ the cross-media hashing to handle both the cross-media representation and indexing simultaneously. Most existing methods attempt to ...

We propose a new cross-media hashing scheme named Multi-view Cross-Media Hashing with Semantic Consistency (MCMHSC) to address this problem. By fully exploiting ...

Nov 3, 2020 · Due to the low storage cost and high query speed of hash codes [7], [8], cross- view hashing (CVH) has achieved promising performance and is ...

Deep cross-modal hashing has made great progress in recent years due to the development of deep learning and efficient hashing algorithms.

A novel Semantic Topic Multimodal Hashing (STMH) is developed by considering latent semantic information in coding procedure and demonstrates that the ...

In this paper, we propose a collaborative multiview hashing (CMH) approach to incorporate multiview representations into the binary code learning for ...

Elastic Multi-view Sub- space Clustering with Pairwise and High-order ... DAH: Discrete Asymmetric Hashing for Efficient Cross-Media. Retrieval. IEEE ...