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

With the increasing number of online learning material in the web, search forspecific content in lecture videos can be time consuming. Therefore, automaticslide extraction from the lecture videos can be helpful to give a briefoverview of the main content and to support the students in their studies. Forthis task, we propose a deep learning method to detect slide transitions inlectures videos. We first process each frame of the video by a heuristic-basedapproach using a 2-D convolutional neural network to predict transitioncandidates. Then, we increase the complexity by employing two 3-D convolutionalneural networks to refine the transition candidates. Evaluation resultsdemonstrate the effectiveness of our method in finding slide transitions.

SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks