Segmenting untrimmed videos into chapters enables users to quickly navigate to the
information of their interest. This important topic has been understudied due to the lack of …

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 …

Videos such as movies or TV episodes usually need to divide the long storyline into
cohesive units, ie, scenes, to facilitate the understanding of video semantics. The key …

Movie story analysis requires understanding characters' emotions and mental states.
Towards this goal, we formulate emotion understanding as predicting a diverse and multi …

Abstract Generic Event Boundary Detection (GEBD) is a newly suggested video
understanding task that aims to find one level deeper semantic boundaries of events …

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 …

Recent advancements in large-scale video-language models have shown significant
potential for real-time planning and detailed interactions. However, their high computational …

A long-term video, such as a movie or TV show, is composed of various scenes, each of
which represents a series of shots sharing the same semantic story. Spotting the correct …

Movie scene segmentation aims to automatically segment a movie into multiple story units,
ie, scenes, each of which is a series of semantically coherent and time-continual shots …

Most existing learning-based methods for stereoscopic image super-resolution rely on a
great number of high-resolution stereoscopic images as labels. To alleviate the problem of …