6 Ways a CIO can Tap into AI-Powered Live Streaming

By Media Entertainment Tech Outlook | Monday, September 09, 2019

AI, with its innumerous potential, is propelling media and entertainment firms into innovative, smart, and compelling content streaming ideas.

FREMONT, CA: Social media platforms have made live broadcasts simpler and seamless than ever. Live streaming is one of the most potent ways to reach and interact with the audience. With live streaming solutions becoming affordable and more accessible, there has been a shift in the way common internet users engage with content. As consumer demands are rising, Artificial Intelligence (AI) is shaking up the streaming service landscape. As AI encloses several complex learning processes, its use cases in streaming services are vast. CIOs of industry-leading companies are beginning to leverage AI to tackle an issue that is popping up in the streaming service space. Here is more to it.   

• Real-Time Video Switching

Real-time video switching is going to be affected by AI in the live video streaming process by using smart software solutions and best cameras. This technology will select carious shots and angles depending on the content being streamed. Using facial and emotional gestures, expressions imaging data will help the overall real-time video switching process. The AI software used will be able to determine each stream frame and analyze the audio and other aspects of the stream. This means that the video switchers will be available as auto-mixing features allowing for a full AI production. There is also computer vision-activated video switchers that are able to work independently on embedded systems or devices. Cameras here can leverage a networked cloud server if necessary.

• Live Captioning

Natural language processing, a subset of AI that is focused on allowing computers to understand and process human languages that are a human level interpretation of language.  Live transcription, interpretation, captioning, translation, and audio description can be used in the streaming of meetings, lectures, and events is having a lot of opportunities with AI development. Corporations and educational institutions can benefit from this live captioning purposes addressing a worldwide audience.

• Content Regulation

The unedited nature of live videos can create privacy issues. In the past video, producers used to rely on a team of viewers to interrupt any live stream breaching any community standard. AI can pave the way for content regulation with the tech-enabled form of censorship, which promises to replace manual monitoring. With machine learning and deep learning, content providers will be able to act faster, smarter, and more effectively. Shortly, AI is expected to interpret streaming content and automatically extract data. This will allow monitoring harmful content more effectively and project privacy violations. This will open more space for intelligent analytics, content insights, and content management paving the way for efficient methods to monetizing content through targeted ads.

• Live Streaming Events

It is now possible for motion-tracking camera systems to allow automated tracking of moving subjects in front of a camera, with producers positioning transmitters and sensors where needed. With AI tracking speakers, entertainers, and actors, streaming events is possible without the application of any additional sensors. The deep learning algorithms are capable of analyzing the video and follow people in different positions on stage or the field, keeping them framed on camera, entirely. It is also possible to set up drones to follow players or track targets with greater precision during the streaming of a match. The AI-enabled cameras can be optimized to capture videos that are pleasing human eyes, thus replacing obstacles in the process. This means that AI-powered cameras will replace the need for a camera crew in most cases.

• Improving User Experience

With users creating more content than ever before, streams require more effective cataloging. Leading content producers are leveraging AI to achieve that and enhancing customer experience with content personalization. For these, providers are using intelligent machines that can understand and analyze text, images, videos using natural language processing and computer vision technology. This allows producers to serve users with the most exciting content. AI tools are being applied to music streams to enhance personalization, as the algorithms can take the pitch, tempo, and vocal style of a song and the users' history to suggest a song.     

• Copyright Infringement and Encoding

Copyright protection is tricky when it comes to living content. Regulators are now looking at AI when it comes to preventing copyright infringement of an event. Similar to the ways AI can improve content and flag illicit content, AI learning-based tools are increasingly used to analyze live content for copyrighted material. Live content giants are using AI to determine the appropriate encoding settings for each content based on complexity. This helps to optimize resources and video quality. Providers rely on machine learning to design encoding for each type of content to improve the encoding process.    

AI has a massive impact on live content streaming service, starting from content creation to final production. It is expected to be heavily used by CIOs to maximize the value of streaming services on a broader scale. CIOs have just begun to tap into AI, and more is in store for them to improve live content delivery.