Video summarization (VS) technologies can automatically extract key frames with effective
information and thus can help to quickly identify the events or speed up the decision-making …

Abstract Temporal Action Detection (TAD) is a basic and complex task in video
understanding. It aims at detecting both the localization and category of actions in a video …

With the rapid growth of social media platforms, the volume of video content on the internet
has increased exponentially. YouTube, the most popular social networking platform …

Video summarization (VS) refers to extraction of key clips with important information from
long videos to compose the short videos. The video summaries are derived by capturing a …

Video Summarization is one of the most important processes in multimedia applications. It is
the process of taking a few segments of each scene to create a video summary that …

Temporal sentence grounding in videos (TSGV) aims to retrieve a temporal moment that
corresponds to a language query from an untrimmed video. Fine-grained temporal location …

In recent times, there has been a significant amount of interest in video summary technology.
The reason behind video summarizing is to condense the information from the original video …

This chapter focuses on explainable video summarization, a technology that could
significantly advance the content production workflow of Media organizations. It starts by …

Temporal action detection (TAD) is a fundamental task for video understanding. The task
aims to locate the start and end boundaries of action instances and identify their …

In this paper we introduce a new dataset for 360-degree video summarization: the
transformation of 360-degree video content to concise 2D-video summaries that can be …