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

In this work, we introduce a dataset of video annotated with high qualitynatural language phrases describing the visual content in a given segment oftime. Our dataset is based on the Descriptive Video Service (DVS) that is nowencoded on many digital media products such as DVDs. DVS is an audio narrationdescribing the visual elements and actions in a movie for the visuallyimpaired. It is temporally aligned with the movie and mixed with the originalmovie soundtrack. We describe an automatic DVS segmentation and alignmentmethod for movies, that enables us to scale up the collection of a DVS-deriveddataset with minimal human intervention. Using this method, we have collectedthe largest DVS-derived dataset for video description of which we are aware.Our dataset currently includes over 84.6 hours of paired video/sentences from92 DVDs and is growing.

Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research