4 Must-Know AI-Enabled Live Streaming Applications

Media Entertainment Tech Outlook | Wednesday, October 30, 2019

Due to its ability to recognize hidden patterns and extract insights from various types of content, AI can be an instrumental technology when it comes to Live Streaming.

FREMONT, CA: Video streaming is gaining immense popularity. With high internet speeds enabling smooth video streaming, people are increasingly engaging themselves with video content. One emerging trend hitting the grounds of media and entertainment is live streaming. However, the major challenge for live videos is the need for control in real-time. Other issues in live streaming include long buffers, stalled videos, and pixelation that significantly impact the video quality. Artificial intelligence (AI) is one such technology that can address the challenges involved in live streaming.             

 AI can have immense potential in live video streaming ranging from content creation to final production. Currently, the technology is being used for network and technical troubleshooting, viewer metrics, and ad serving. AI's use cases are set to increase in the future drastically. Here are some of the AI-enabled features that will transform the live streaming.

Real-Time Video Switching

Smart software solutions with optimum cameras can be used to capture individual shots that will be optimized based on the content. AI software can determine each time video frame and analyze the audio, video, and other aspects of the stream. In a way, AI will support video switching as auto-mixing features enabling complete automation of the overall process.

Object Detection

Violent video streams are increasingly getting viral due to the lack of infrastructure required for censoring such content. Even when the video is finally blocked, there is no guarantee that the content has not been shared or copied elsewhere. AI will assist in content regulation in a much efficient way. Utilizing machine learning (ML) and deep learning will allow the organizations to act with more agility, smartness, and with enhanced accuracy. AI can be expected to stream content while automatically extracting metadata. Monitoring harmful content will become much more manageable once AI is in streaming space.

Automated Live Stream Actions

Various activities will require AI support, such as production events, where facial-recognition is used to convey a lower-third for a presenter. AI-driven software will allow automating the entire procedure, including capturing and streaming the live event. AI will also help to integrate visualizations and assets that alter depending on time, location, and dynamic data in relation to the live stream.

Thus, AI-enabled live streaming can shift the paradigm of streaming to a new level as its incorporation will not only make the tasks simpler but also significantly lower the expenses.

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