Large-scale video-language pre-training has shown significant improvement in video-
language understanding tasks. Previous studies of video-language pretraining mainly focus …

The ability to distinguish between different movie scenes is critical for understanding the
storyline of a movie. However, accurately detecting movie scenes is often challenging as it …

Although video summarization has achieved great success in recent years, few approaches
have realized the influence of video structure on the summarization results. As we know, the …

Although automatic shot transition detection approaches are already investigated for more
than two decades, an effective universal human-level model was not proposed yet. Even for …

Video summarization (VSUMM) has become a popular method in processing massive video
data. The key point of VSUMM is to select the key frames to represent the effective contents …

Abstract The use of Recurrent Neural Networks for video captioning has recently gained a
lot of attention, since they can be used both to encode the input video and to generate the …

This paper presents a novel task together with a new benchmark for detecting generic,
taxonomy-free event boundaries that segment a whole video into chunks. Conventional …

Lots of approaches for automated video analysis have been suggested since the 1990ies,
which have the potential to support quantitative and qualitative analysis in film studies …

Shot boundary detection (SBD) is an important component of many video analysis tasks,
such as action recognition'video indexing, summarization and editing. Previous work …

Temporal video segmentation is the get-to-go automatic video analysis, which decomposes
a long-form video into smaller components for the following-up understanding tasks. Recent …