4 AI Solutions for Efficient Live Streaming
Media Entertainment Tech Outlook | Monday, November 04, 2019
AI, with its unmatched capabilities, carries the potential to address major issues in live streaming and offer relevant solutions.
FREMONT, CA: Streaming constitutes a substantial share of all the data surrounding us. Video forecast might account for 82% of internet traffic by 2022 according to a report. Artificial intelligence (AI) will play a pivotal role in the streaming industry. AI will be a significant technology in terms of regulating unauthorized content, preventing copyright violations, and various other aspects of streaming. With AI's capability to impact a variety of industry aspects, leading companies are seeking to utilize the technology to improve the streaming space as well.
Though streaming has forced traditional media and entertainment organizations to rethink the methods of content delivery and management, the risks of streaming cannot be ignored. The modern live-streaming technology equips anyone with an internet connection and a recording device, like a smartphone, to publish or view videos in real-time. Here are the ways by which AI impacts live streaming.
• Effective Censorship
Violent video streams usually go viral due to the lack of support required for censoring such content. And by the time stream gets blocked, there is no way to ensure that the content has not been copied or shared outside. Technologies such as AI assist in content regulation in a much effective way. Incorporating Machine Learning (ML) and deep learning enables organizations to act quicker, smarter, and with improved accuracy. AI is expected to stream content and extract metadata automatically. Monitoring objectionable content will become relatively simple once AI is in the streaming space.
• User Experience
With increasing video content overwhelming the streaming world, real-time cataloging is now a necessity and a challenge. Widely used social media apps are using AI for the purpose, which in turn helps with content customization. AI tools are being used for content indexing in music streams as AI algorithms now suggest related content based on the tempo, pitch, chord progression, vocal style of a song, and user's history.
• Video Switching
With further improvements in its algorithms, AI assists in real-time video switching as well. Based on the content thats on display such as facial, emotional, gesture, color recognition, clothing, and other such aspects, intelligent software will select the best camera angles or shots. Based on the content on display, the AI algorithms switches or chooses between different audio or video references. AI-enabled software analyzes the content of the frame and then decides if a wide, medium, or close-up angle satisfies the content. The software will also analyze audio, video, and other such features and switch a full event by identifying speech, faces, movements, or activities. The auto-mixing feature will be particularly useful in the live events as it will substitute the role of a technical director.
• Real-Time Graphics
Neural networks can recognize target people or objects using facial recognition and trigger production events like creating subtitles for the presenters in a news channel. Facial recognition also produces a graphical view of the statistics of an individual player on the field. Cognitive technologies require the integration of data-driven assets and visualizations that transform depending on specific actions, times, locations, or dynamic data concerning the stream.
It's just the beginning stage of experts eyeing different areas of live streaming where AI can be implemented. Most of the manual processes currently existing in the sector will disappear as AI sets foot into streaming. AI appears to be the best way to overcome the hurdles involved in live streaming.