Learn how to extract insights like speaker identification, topic extraction, and full transcripts from conference videos using Azure AI Video Indexer. Perfect for AI-102 exam prep!
Table of Contents
Question
Your organization, Xerigon Inc., recorded several hours of video content during a recent conference, including keynote speeches, panel discussions, and Q&A sessions. You want to extract key insights from these videos, such as identifying speakers, extracting important topics, and generating a transcript of the entire event. Additionally, your team wants to use these insights to create searchable video archives and to analyze engagement metrics.
What should you do first?
A. Upload the video to the Video Analyzer.
B. Manually transcribe the video content.
C. Apply text analytics to the video content.
D. Use Azure Cognitive Search to index the video.
Answer
A. Upload the video to the Video Analyzer.
Explanation
After logging in to the Azure AI Video Indexer website, you would upload the video to Azure AI Video Indexer website. Uploading the video is the required first step to begin analyzing and extracting insights. Azure AI Video Indexer website uses AI to analyze the video and extract insights such as speaker identification, key topics, sentiment, and automatic transcription. Once the video has been uploaded, the service automatically processes it and generates the necessary insights, making it easier to create searchable archives and analyze engagement metrics. There is a size limit of 2 GB on the file that can be uploaded directly from a device to the Video Indexer website. If the file is larger than 2 GB, you can upload it to OneDrive. Once the file is stored in OneDrive, locate it, select Share, and click on Copy Link to get the shareable URL. Paste this URL into the URL input box on the Upload page of the Video Indexer. The maximum size of a video file from a URL is 30 GB.
You would follow the below-outlined steps to upload the video to the Video Analyzer portal:
- Log in to the Azure Video Analyzer portal.
- Navigate to the Upload section.
- Select the video file you want to analyze.
- Upload the video, and the Video Analyzer will automatically process the content, extracting insights such as transcription, speaker identification, and more (refer to the exhibit).
Applying text analytics to the video content is not the first step in the given scenario. Text analytics is a tool used to analyze text data, such as extracting key phrases, entities, and sentiment. However, it is not directly applied to video content. Before applying text analytics, you need to extract the relevant text from the video using a tool such as Azure Video Analyzer. Therefore, applying text analytics is not the first step in this process.
Manually transcribing the video content is not the first step in the given scenario. Manually transcribing video content is not required when using Azure Video Analyzer. The service includes automated transcription features that save time and improve accuracy compared to manual transcription.
Using Azure Cognitive Search to index the video is not the first step in the given scenario. Azure Cognitive Search is a service that creates searchable indexes for text-based content. However, it cannot directly process video files. Before using Cognitive Search, you need to extract the relevant metadata and text from the video using a service such as Video Analyzer. Once the video has been analyzed and insights generated, you can use Azure Cognitive Search to index the extracted content.
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