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 has sparked much attention in large-scale information retrieval for its
storage and query efficiency. Despite the great success achieved by supervised …

Hashing could significantly accelerate large-scale image search by transforming the high-
dimensional features into binary Hamming space, where efficient similarity search can be …

With the rapid development of science and technology, all types of mixed media contain
large amounts of data. Traditional single multimedia data can no longer satisfy daily …

With the prevalence of multimedia content on the Web which usually continuously comes in
a stream fashion, online cross-modal hashing methods have attracted extensive interest in …

In this paper, we present a novel supervised cross-modal hashing framework, namely
Scalable disCRete mATrix faCtorization Hashing (SCRATCH). First, it utilizes collective …

In light of the ability to enable efficient storage and fast query for big data, hashing
techniques for cross-modal search have aroused extensive attention. Despite the great …

Owing to the rapid development of deep learning and the high efficiency of hashing, hashing
methods based on deep learning models have been extensively adopted in the area of …

Hashing-based techniques have provided attractive solutions to cross-modal similarity
search when addressing vast quantities of multimedia data. However, existing cross-modal …

Inspired by the powerful representation capability of deep neural networks, deep cross-
modal hashing methods have recently drawn much attention and various deep cross-modal …