AI Processing and Automatic Editing for Real-Time Video

• Verfasst von: Ojala, Pauli Olavi [VerfasserIn]
• Titel: AI Processing and Automatic Editing for Real-Time Video
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: O'Reilly Media, Inc.
• Jahr: 2024
• Umfang: 1 online resource
• Fussnoten: Machine-generated record
• ISBN: 978-1-0981-6758-5
• ISBN: 1-0981-6758-9
• Datenträger: Online-Ressource
• Sprache: und
• Sach-SW: Vidéo numérique ; Montage ; Informatique
• Sach-SW: Temps réel (Informatique)
• Sach-SW: Intelligence artificielle
• Sach-SW: artificial intelligence
• K10plus-PPN: 1885004729
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4507196248
• Lokale URL Inst.: Zum Volltext

Abstract

Video is the most difficult type of digital media to process. Consumers and businesses create enormous amounts of video content every day, but much of its potential is wasted. That's because refining rich and meaningful video content has typically been a slow, manual process that involves video editors and designers toiling away on high-end computers. Until now. This report reveals the building blocks of a real-time video pipeline that will help software engineers make videos with more context, smart editing, useful information density, and higher production values—without wasting hours in Adobe After Effects. Author Pauli Olavi Ojala takes you through the automatic production of high-quality videos and introduces types of cost-efficient AI processing that can extract value from large amounts of raw video material.