Datasets > Modality > Videos > TVSum (Title-based Video Summarization)

TVSum (Title-based Video Summarization)

Introduced by Song et al. in TVSum: Summarizing Web Videos Using Titles

The Title-based Video Summarization (TVSum) dataset serves as a benchmark to validate video summarization techniques. It contains 50 videos of various genres (e.g., news, how-to, documentary, vlog, egocentric) and 1,000 annotations of shot-level importance scores obtained via crowdsourcing (20 per video). The video and annotation data permits an automatic evaluation of various video summarization techniques, without having to conduct (expensive) user study.

Source: https://github.com/yalesong/tvsum

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