Hashing methods for efficient image retrieval aim at learning hash functions that map similar
images to semantically correlated binary codes in the Hamming space with similarity well …

Hashing methods have been extensively applied to efficient multimedia data indexing and
retrieval on account of the explosion of multimedia data. Cross-modal hashing usually …

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 …

Video captioning has been attracting broad research attention in the multimedia community.
However, most existing approaches heavily rely on static visual information or partially …

In this paper, we propose a novel deep generative approach to cross-modal retrieval to
learn hash functions in the absence of paired training samples through the cycle consistency …

In this paper, we propose a novel approach to video captioning based on adversarial
learning and long short-term memory (LSTM). With this solution concept, we aim at …

To provide excellent visual experience for customers, virtual reality (VR) sources require
higher resolutions and better visual quality than traditional picture sequences. The content of …

Intrusion detection is an important technique that can provide solid protection for the network
equipment against the security attacks. However, the attacks are usually unbalanced in …

Visual Question Answering (VQA) is a task to answer natural language questions tied to the
content of visual images. Most recent VQA approaches usually apply attention mechanism to …

Mobile landmark search (MLS) recently receives increasing attention for its great practical
values. However, it still remains unsolved due to two important challenges. One is high …