With the widespread use of smartphones as recording devices and the massive growth in
bandwidth, the number and volume of video collections has increased significantly in the …

Despite the fact that automatic content analysis has made remarkable progress over the last
decade-mainly due to significant advances in machine learning-interactive video retrieval is …

In this paper we revisit feature fusion, an old-fashioned topic, in the new context of text-to-
video retrieval. Different from previous research that considers feature fusion only at one …

In this work we analyze content statistics of the V3C1 dataset, which is the first partition of
theVimeo Creative Commons Collection (V3C). The dataset has been designed to represent …

The recent advance of video retrieval has been driven by large-scale visual-language
pretraining models. In particular, the state-of-the-art approaches are mainly based on …

For research results to be comparable, it is important to have common datasets for
experimentation and evaluation. The size of such datasets, however, can be an obstacle to …

The Web is increasingly used as a source for content of datasets of various types, especially
multimedia content. These datasets are then often distributed as a collection of URLs …

For quantifying progress in Ad-hoc Video Search (AVS), the annual TRECVID AVS task is an
important international evaluation. Solutions submitted by the task participants vary in terms …

This article conducts user evaluation to study the performance difference between
interactive and automatic search. Particularly, the study aims to provide empirical insights of …

Benchmarking has helped signifi-cantly advance the state of the art in multimedia
technologies. The key has been the concept of a benchmark task, which consists of a …