: This paper details a four-stage process that identifies "key points of interest" in raw footage to automatically extract news highlights, effectively automating the role of a traditional video editor.
While your .zip file is a manual design asset, these papers represent the , showing how such templates are now being "coded" to update themselves automatically using live news feeds and AI agents. Download File news-intro-39050662.zip
: This paper proposes a two-stage approach to "fill" templates by filtering redundant context from news stories and inserting named entities (like event participants) directly into pre-designed visual frames. Why these are relevant : This paper details a four-stage process that
: A deep dive into systems that use tools like Node.js and Puppeteer to scrape news articles and then automatically merge text, AI-generated audio, and visual templates (like the one you found) into a ready-to-publish broadcast. Why these are relevant : A deep dive