English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Video summarization remains a huge challenge in computer vision due to thesize of the input videos to be summarized. We propose an efficient,language-only video summarizer that achieves competitive accuracy with highdata efficiency. Using only textual captions obtained via a zero-shot approach,we train a language transformer model and forego image representations. Thismethod allows us to perform filtration amongst the representative text vectorsand condense the sequence. With our approach, we gain explainability withnatural language that comes easily for human interpretation and textualsummaries of the videos. An ablation study that focuses on modality and datacompression shows that leveraging text modality only effectively reduces inputdata processing while retaining comparable results.

Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization