In recent years, cross-modal retrieval has drawn much attention due to the rapid growth of
multimodal data. It takes one type of data as the query to retrieve relevant data of another …

During the last decade, the deluge of multimedia data has impacted a wide range of
research areas, including multimedia retrieval, 3D tracking, database management, data …

Due to its low storage cost and fast query speed, cross-modal hashing (CMH) has been
widely used for similarity search in multimedia retrieval applications. However, most existing …

The proliferation of social media in communication and information dissemination has made
it an ideal platform for spreading rumors. Automatically debunking rumors at their stage of …

The explosive growth in Big Data has attracted much attention in designing efficient indexing
and search methods recently. In many critical applications such as large-scale search and …

Due to its low storage cost and fast query speed, hashing has been widely adopted for
similarity search in multimedia data. In particular, more and more attentions have been …

In this paper, we address the temporal moment localization issue, namely, localizing a video
moment described by a natural language query in an untrimmed video. This is a general yet …

Existing video hash functions are built on three isolated stages: frame pooling, relaxed
learning, and binarization, which have not adequately explored the temporal order of video …

In this paper, we present a new multimedia retrieval paradigm to innovate large-scale
search of heterogenous multimedia data. It is able to return results of different media types …

Recently, joint video-language modeling has been attracting more and more attention.
However, most existing approaches focus on exploring the language model upon on a fixed …