Microsoft Certified: Azure AI Engineer AssociateImplement image and video processing solutionsMedium
A media company is building an archive system for its vast collection of historical news footage. They need to automatically extract spoken words, identify key topics, and detect specific celebrities appearing in the videos to improve searchability. Which Azure Cognitive Service is best suited to fulfill all these requirements comprehensively?
- AAzure Video Indexer
- BAzure Face API and Azure Speech-to-Text (combined)
- CAzure Custom Vision
- DAzure Computer Vision
Show answer & explanationAnswer & explanation
Correct answer: A. Azure Video Indexer
Azure Video Indexer is specifically designed for extracting deep insights from video and audio content. It combines multiple AI models, including speech-to-text, speaker diarization, keyword extraction, and celebrity recognition, into a single, integrated service, making it ideal for this scenario.
Why the other options are wrong
- B. While combining Face API and Speech-to-Text could address parts of the problem, Video Indexer offers a more integrated and feature-rich solution for video content, including advanced capabilities like topic extraction and a unified API.
- C. Custom Vision is for training custom image classification/object detection models, not video analysis.
- D. Computer Vision focuses on static image analysis, not comprehensive video and audio processing.
Azure Video Indexer
Azure Video Indexer is a cloud service that extracts rich insights from video and audio content using multiple AI models, including speech-to-text, facial recognition, and sentiment analysis.
- Automated video and audio analysis.
- Extracts metadata like keywords, topics, and sentiments.
- Integrates speech-to-text, facial recognition, and OCR.
Memory trick: For deep dives into video, the Indexer is your expert guide.