Ignite, 2021: Scale-up with the latest enhancements of Azure Video Analyzer for Media files (AVAM)
Azure Video Analyzer for Media (AVAM), formerly known as Video Indexer, celebrates 3 years as a general-available cloud solution for analyzing media files. AVAM is an Azure Applied AI solution with 33 machine-learning based vision and audio models extracting significant business insights from your media files. We are happy to announce that this 3-year product is now ready to scale-up thanks to a set of innovative enhancements. We believe that now, any digital media asset library in the world can get the most valuable insights in less than 3 days efforts. As an example, we now enable an ARM-based account management (and it takes only 3 minutes to create a new account).New name and a wealth of new capabilities in Video Indexer (now AVA for Media)
At MS Build 2021, the Azure Video Indexer service is becoming part of the new set of Applied AI services, aiming to enable developers to accelerate time to value for AI workloads, versus building solutions from scratch. Azure Video Analyzer and Azure Video Analyzer for Media are designed to do that specifically for video AI workloads. That is, to enable developers to build video AI solutions easily without the need for deep knowledge in Media or in AI/machine learning; from edge to cloud, live to batch. As part of this change, Video Indexer will be renamed as Azure Video Analyzer for Media (a.k.a. AVAM). Under the new name, we continue to work hard to bring you the insights and capabilities needed to get more out of your cloud media archives; improve searchability, enable new user scenarios and accessibility, and open new monetization opportunities. So, what else is new in AVAM (other than the name 🙂 😊)? New insight types added to provide greater support to analysis, discoverability, and accessibility needs Audio effects detection, with closed caption files enrichment (public preview in trial and paid accounts): ability to detect non-speech audio effects, such as gunshots, explosions, dogs barking, and crowd reactions. Observed People Tracing (public preview in trial and paid accounts): ability to detect standing people spotted in the video and trace their path with bounding boxes Improvements to existing insights Improvements to named entities (locations, people, and brands). Improvements to face recognition pipeline. Extending global support Expanded regional availability. Multiple new languages supported for transcription. Learn from others We are proud to share how our partners WPP and Media Valet use the service to provide better media experiences to their customers. New in our developers’ community New developer portal enabling anyone to get started with the API easily and get answers fast. Open-source code to help you leverage the newly added widget customization. Open-source solution to help you add custom search to your video libraries. Open-source solution to help you add de-duplication to your video libraries. New “Azure blue” visual theme More about all those great additions and announcements in this blog!Getting started with Video Indexer REST API
Getting familiar with the developer portal Before moving to an example of using Video Indexer’s API, let’s briefly explore what’s available for you in the portal. The first tab is the APIs tab. It has a list of all APIs calls in VI’s environment, by choosing an API call you will get a sample of how the request would look like, a documentation table, and an option to try the API call through the portal. On the ‘try it’ blade you will be able to enter the relevant parameters and get a glance at what would the API call and response look like.Extract business insights with Live Video Analytics and Intel OpenVINO using Intel NUC devices.
We often get the question from customers: “Can you advice on a powerful but small edge device to run multiple video analytics pipelines and offload to the GPU?” One way to address this question is to look at an Intel NUC device paired with Live Video Analytics and Intel DL Streamer. This can be of interest for customers that have a need to apply AI inference on multiple cameras and are looking for a small device to run this on. Think about monitoring a parking lot where you can get notification on certain vehicle types or monitor a building entrance and detect and track people. Inference results can be used to trigger your own business logic
New ways to train custom language models – effortlessly!
Video Indexer (VI), the AI service for Azure Media Services enables the customization of language models by allowing customers to upload examples of sentences or words belonging to the vocabulary of their specific use case. Since speech recognition can sometimes be tricky, VI enables you to train and adapt the models for your specific domain. Harnessing this capability allows organizations to improve the accuracy of the Video Indexer-generated transcriptions in their accounts.Combine the Power of Video Indexer and Computer Vision
Video Indexer enables to export high resolution keyframes. This allows using image-based artificial intelligence models to detect and recognize a wealth of insights. For example, identify logos, get image description, detect objects and many more.Starting 2021 With the Latest and Greatest Features of Azure Video Indexer
In Q1, 2021 (CY) we released a significant set of new features for Video Indexer related to our ongoing global expansion, customer growth and additional scenarios based on our customer demand and feedback. Read more to learn about the latest and greatest features.
