Abstract Video-Text Retrieval has been a hot research topic with the growth of multimedia
data on the internet. Transformer for video-text learning has attracted increasing attention …

This paper targets at fast video moment retrieval (fast VMR), aiming to localize the target
moment efficiently and accurately as queried by a given natural language sentence. We …

Nearest neighbor search aims at obtaining the samples in the database with the smallest
distances from them to the queries, which is a basic task in a range of fields, including …

This paper aims for the task of text-to-video retrieval, where given a query in the form of a
natural-language sentence, it is asked to retrieve videos which are semantically relevant to …

Current methods for text-to-video retrieval (T2VR) are trained and tested on video-captioning
oriented datasets such as MSVD, MSR-VTT and VATEX. A key property of these datasets is …

Cross-modal hashing has been widely used in multimedia retrieval tasks due to its fast
retrieval speed and low storage cost. Recently, many deep unsupervised cross-modal …

In general, videos are powerful at recording physical patterns (eg, spatial layout) while texts
are great at describing abstract symbols (eg, emotion). When video and text are used in …

Retrieving unlabeled videos by textual queries, known as Ad-hoc Video Search (AVS), is a
core theme in multimedia data management and retrieval. The success of AVS counts on …

We present a novel network to transfer the image-language pre-trained model to video-text
retrieval in an end-to-end manner. Leading approaches in the domain of video-and …

Graph is powerful for representing various types of real-world data. The topology (edges'
presence) and edges' features of a graph decides the message passing mechanism among …