Discover how Azure AI Video Indexer’s slate detection feature accelerates film post-production analysis by identifying technical markers like clapperboards. Learn its applications for media synchronization, certification exam success (AI-900), and AI-driven video analytics career advancement.
Table of Contents
Question
Which of the following is a feature of Azure AI Video Indexer that helps identify movie post-production insights?
A. Rolling credits
B. Slate detection
C. Shot detection
D. Editorial shot type detection
Answer
B. Slate detection
Explanation
Slate detection is a feature in Azure AI Video Indexer that specifically identifies elements commonly used in movie post-production, such as:
- Clapperboard with metadata extraction (e.g., scene number, take number)
- Digital patterns such as color bars used for color correction
- Textless slates for scene matching
Editorial shot type detection is not used to identify movie post-production insights. This feature identifies the type of shot used in the video (wide shot, close-up, etc.) based on the visual content, not specific to post-production.
Rolling credits is not used to identify movie post-production insights. This feature identifies the beginning and end of the rolling credits sequence typically found at the end of movies and TV shows. While related to post-production, it is not specific to movie post-production insights.
Shot detection is not used to identify movie post-production insights. This feature identifies transitions between different shots in the video based on visual cues. While useful for analyzing video structure, it does not directly provide insights related to movie post-production.
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