4 datasets found

The dataset used in this paper is a large-scale user study in a real-world scenario, where participants were asked to rank video summaries centered on five characters of the...

Creating summaries from user videos. The SumMe dataset consists of 25 videos (with the average length of 160 seconds) and 50 videos (with the average length of 252 seconds)...

VideoXum is a large-scale video summarization dataset that contains 14,001 long videos with corresponding human-annotated video and text summaries.

Automatic keyframe detection from videos is an exercise in selecting scenes that can best summarize the content for long videos.