Teams Meeting Recording does not include Embedded Video from PowerPoint presentation
One of my customers ran into an interesting issue recently that I have been able to replicate. I'm curious if others are also experiencing this, and if there's a way to make it work properly. Here's the scenario: A PowerPoint slideshow is shared in a Teams meeting using the "Present in Teams" button from PowerPoint. The slideshow contains an embedded *.webm video that was recorded with Stream (on SharePoint). Participants in the meeting are able to see and hear the video correctly during the meeting. In the Teams meeting recording, the audio and video from the *.webm video does not work... it appears blank on the slide as if no video was played. In some testing with the customer prior to the meeting, the video file playback quality was best when using the "Present in Teams" button instead of a screen share in Teams with computer audio. I had assumed this built-in sharing method would be our best route. We did not realize the meeting would be recorded and did not test that specifically. After the issue occurred, I recorded a new video and created a new PowerPoint slideshow to test this in 3 scenarios... First by sharing the PowerPoint app from the Teams meeting. The Teams meeting recording contained the audio and video properly from the embedded *.webm file that was played. Second, from the Teams meeting, sharing the entire screen including computer audio, the embedded *.webm video again played properly in the meeting recording. Third, when using the "Present in Teams" button from PowerPoint, the *.webm video played correctly during the meeting, but the Teams meeting recording did not contain audio or video from the embedded *.webm video, just like what my customer experienced. I can't tell if this is a known limitation, an issue with Teams meeting recording functionality, or an issue with PowerPoint. If anyone has some insight to share, it would be greatly appreciated! Thanks, Brian
Video Super Resolution Missing Options in Setting
Enhance videos in Microsoft Edge (Flag: #edge-video-super-resolution) is missing critical options in setting, making it impossible to function properly. In Version 136.0.3240.29 (Official build) beta (64-bit), as well as the previous beta build, it is missing the option to choose from three methods of video enhancement, as shown in screenshot. Here is the setting from latest beta build: This is how it is supposed to look: Thus, beta build defaults to Microsoft Super Resolution and I can't find a way to use graphics driver enhancement like RTX Super Resolution, which is critical to my experience. Also, HDR is no longer supported when video enhancement is enabled, which I believe is a limitation of Microsoft Super Resolution.Create Stunning AI Videos with Sora on Azure AI Foundry!
Special credit to Rory Preddy for creating the GitHub resource that enable us to learn more about Azure Sora. Reach him out on LinkedIn to say thanks. Introduction Artificial Intelligence (AI) is revolutionizing content creation, and video generation is at the forefront of this transformation. OpenAI's Sora, a groundbreaking text-to-video model, allows creators to generate high-quality videos from simple text prompts. When paired with the powerful infrastructure of Azure AI Foundry, you can harness Sora's capabilities with scalability and efficiency, whether on a local machine or a remote setup. In this blog post, I’ll walk you through the process of generating AI videos using Sora on Azure AI Foundry. We’ll cover the setup for both local and remote environments. Requirements: Azure AI Foundry with sora model access A Linux Machine/VM. Make sure that the machine already has the package below: Java JRE 17 (Recommended) OR later Maven Step Zero – Deploying the Azure Sora model on AI Foundry Navigate to the Azure AI Foundry portal and head to the “Models + Endpoints” section (found on the left side of the Azure AI Foundry portal) > Click on the “Deploy Model” button > “Deploy base model” > Search for Sora > Click on “Confirm”. Give a deployment name and specify the Deployment type > Click “Deploy” to finalize the configuration. You should receive an API endpoint and Key after successful deploying Sora on Azure AI Foundry. Store these in a safe place because we will be using them in the next steps. Step one – Setting up the Sora Video Generator in the local/remote machine. Clone the roryp/sora repository on your machine by running the command below: git clone https://github.com/roryp/sora.git cd sora Then, edit the application.properties file in the src/main/resources/ folder to include your Azure OpenAI Credentials. Change the configuration below: azure.openai.endpoint=https://your-openai-resource.cognitiveservices.azure.com azure.openai.api-key=your_api_key_here If port 8080 is used for another application, and you want to change the port for which the web app will run, change the “server.port” configuration to include the desired port. Allow appropriate permissions to run the “mvnw” script file. chmod +x mvnw Run the application ./mvnw spring-boot:run Open your browser and type in your localhost/remote host IP (format: [host-ip:port]) in the browser search bar. If you are running a remote host, please do not forget to update your firewall/NSG to allow inbound connection to the configured port. You should see the web app to generate video with Sora AI using the API provided on Azure AI Foundry. Now, let’s generate a video with Sora Video Generator. Enter a prompt in the first text field, choose the video pixel resolution, and set the video duration. (Due to technical limitation, Sora can only generate video of a maximum of 20 seconds). Click on the “Generate video” button to proceed. The cost to generate the video should be displayed below the “Generate Video” button, for transparency purposes. You can click on the “View Breakdown” button to learn more about the cost breakdown. The video should be ready to download after a maximum of 5 minutes. You can check the status of the video by clicking on the “Check Status” button on the web app. The web app will inform you once the download is ready and the page should refresh every 10 seconds to fetch real-time update from Sora. Once it is ready, click on the “Download Video” button to download the video. Conclusion Generating AI videos with Sora on Azure AI Foundry is a game-changer for content creators, marketers, and developers. By following the steps outlined in this guide, you can set up your environment, integrate Sora, and start creating stunning AI-generated videos. Experiment with different prompts, optimize your workflow, and let your imagination run wild! Have you tried generating AI videos with Sora or Azure AI Foundry? Share your experiences or questions in the comments below. Don’t forget to subscribe for more AI and cloud computing tutorials!Clipchamp for Microsoft Education is here: enhancing learning through video creation
We’re excited to announce the launch of Clipchamp for education. In today’s digital landscape, effective communication is paramount. Clipchamp for education equips educators and students with the ability to convey ideas visually, developing essential skills for success that range from the classroom into future careers.
Video: The one with Migrating 400 TB of data to RISE with SAP on Azure (Ashish Wadhwa)
In episode 233 of our SAP on Azure video podcast we talk about Tata Projects. Migrating a 400 TB of SAP systems to RISE with SAP on Azure alone is a huge challange. Doing this within 9 months, with only 9 days of blackout is even better. But what makes this story so special is really leveraging the benefits of this Microsoft and SAP integration by implementing Power BI, Security Copilot, Power Platform and obviously also AI. Find all the links mentioned here: https://www.saponazurepodcast.de/epis... Reach out to us for any feedback / questions: Robert Boban: / rboban Goran Condric: / gorancondric Holger Bruchelt: / holger-brucheltSevere Frame Drops in Microsoft Edge When Playing Tencent Video HEVC at 1080P in Windows
When playing HEVC videos from Tencent Video(https://v.qq.com) on Microsoft Edge (Windows), I experience severe frame drops at 1080P resolution. However, this issue does not occur when playing at 720P. Interestingly, Chrome does not exhibit the same problem when playing the same 1080P videos. I have saved the relevant video files for comparison. Is this a bug in Edge? Upon analyzing the files using Mp4Box.js, no significant differences were found. https://thumbplayer-76307.gzc.vod.tencent-cloud.com/testvideo/mp4/h265/ffmpeg_output_1080P.mp4 https://thumbplayer-76307.gzc.vod.tencent-cloud.com/testvideo/mp4/h265/ffmpeg_output_720P.mp4 AMD Ryezen7 4700G DDR4 3200 16x2 RTX 3050 8GB Windows 11 22H2 22621.4460How to prevent video from being cropped in a Teams recording?
Recently we recorded a video of a meeting. The meeting was hybrid where 4 of the main presenters were seated in the front of the room. We positioned the camera to have all 4 presenters in view. The output was correctly displayed in the room and on a separate laptop (all 4 presenters could be seen at all times). Upon reviewing the recording, only 1.5 of the presenters were visible, even when one of the other presenters was speaking. It seems that the "Fill frame" feature enabled itself for the recording, despite the person who recorded the meeting verifying that the "Fit to frame" option was selected on his device before recording. Is there a way to prevent videos from being automatically cropped in recordings?
