Analyze Video

By Ashwin Venugopal -

 




Overview

Producing material in video format is becoming more and more prevalent for both individuals and companies. For instance, you might record a teleconference that includes webcam footage and slide or document presentations, or you might use a cellphone to record a live event. Because of this, video files include a lot of information that may need to be extracted for analysis or to facilitate indexing for searchability.

Azure Video Indexer is a service that extracts information from videos, such as scene segmentation, item labels, word recognition, face identification, and more.

Understand Azure Video Indexer Capabilities

The Azure Video Indexer service is designed to help you extract information from videos. It provides functionality that you can use for:

  • Facial recognition - detecting the presence of individual people in the image. This requires Access approval.

  • Optical character recognition - reading text in the video.

  • Speech transcription - creating a text transcript of spoken dialog in the video.

  • Topics - identification of key topics discussed in the video.

  • Sentiment - analysis of how positive or negative segments within the video are.

  • Labels - label tags that identify key objects or themes throughout the video.

  • Content moderation - detection of adult or violent themes in the video.

  • Scene segmentation - a breakdown of the video into its constituent scenes.

The Video Analyzer service provides a portal website that you can use to upload, view, and analyze videos interactively.

Extract Custom Insights

Azure Video Indexer has built-in models that can do OCR, identify well-known celebrities, and translate spoken words into text. By building unique models for the following, you can increase Video Analyzer's recognition capabilities:

  • People- Add images of the faces of people you want to recognize in videos, and train a model. Video Indexer will then recognize these people in all of your videos.

  • Language- If your organization uses specific terminology that may not be in common usage, you can train a custom model to detect and transcribe it.

  • Brands- You can train a model to recognize specific names as brands, for example to identify products, projects, or companies that are relevant to your business.

 Conclusion

We have successfully learnt about azure video indexer capabilities and extracting custom insights.











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