With the explosive growth of multimedia contents, multimedia retrieval is facing
unprecedented challenges on both storage cost and retrieval speed. Hashing technique can …

Cross-modal hashing, favored for its effectiveness and efficiency, has received wide
attention to facilitating efficient retrieval across different modalities. Nevertheless, most …

The rapid development of the social network has brought great convenience to people's
lives. A large amount of cross‐media big data, such as text, image, and video data, has been …

Hashing technologies have been widely applied for large-scale multimodal retrieval tasks
owing to their excellent performance in search and storage tasks. Although some effective …

Multi-modal hashing supports efficient multimedia retrieval well. However, existing methods
still suffer from two problems:(1) Fixed multi-modal fusion. They collaborate the multi-modal …

How to eliminate the semantic gap between multi-modal data and effectively fuse multi-
modal data is the key problem of cross-modal retrieval. The abstractness of semantics …

Hashing has become increasingly important for large-scale image retrieval, of which the low
storage cost and fast searching are two key properties. However, existing methods adopt …

Supervised cross-modal hashing aims to embed the semantic correlations of heterogeneous
modality data into the binary hash codes with discriminative semantic labels. It can support …

Hashing, which represents data items as compact binary codes, has been becoming a more
and more popular technique, eg, for large-scale image retrieval, owing to its super fast …

Unsupervised hashing has been extensively applied in large-scale multi-modal retrieval by
mapping original data from heterogeneous modalities into unified binary codes. However …