How AI Addresses these 4 Concerns in Live Streaming
Media Entertainment Tech Outlook | Wednesday, October 16, 2019
AI and its immense potential, spanning a range of areas, can address some of the major issues in Live Streaming.
FREMONT, CA: Streaming constitutes a considerable share of all the data moving around. Video forecast is expected to account for 82 percent of internet traffic by 2022. Artificial intelligence (AI) will play a key role in the streaming industry. AI will be a critical technology in terms of regulating illicit content, preventing copyright infringement, and several other aspects of streaming. With AI's capability to impact a range of industry aspects, leaders are trying to utilize the technology to enhance the streaming space as well.
Though streaming has forced conventional media and entertainment firms to rethink the ways of content delivery and management, the dangers of streaming cannot be ignored. The modern live-streaming technology enables anyone with an internet connection and a recording device, such as a smartphone, to view or publish a real-time video. Here are the ways how AI can impact live streaming greatly.
Object Detection for Effective Censorship
Violent video streams often go viral due to the lack of infrastructure required for censoring such contents. And by the time stream gets blacklisted, there is no guarantee that the content has not been copied or shared elsewhere. Technologies such as AI will assist in content regulation in a much efficient way. Incorporating machine learning (ML) and deep learning will allow the organizations to act faster, smarter, and with enhanced accuracy. AI is expected to stream content and automatically extract metadata. Monitoring harmful content will become relatively easy once AI is in the streaming space.
Content Indexing for Enhanced User Experience
With ever-increasing video content flooding the streaming world, real-time cataloging is both a necessity and a challenge. Popular social media apps are using AI for the purpose, which in turn assists with content personalization. AI tools are also being used for content indexing in music streams as AI algorithms can now suggest similar content based on the tempo, pitch, chord progression, vocal style of a song, and user’s history.
Real-Time Video Switching
With further advancements in its algorithms, AI will assist in real-time video switching as well. Based on the content on display such as emotional, facial, gesture, color recognition, clothing, and other such aspects, intelligent software will select optimum camera shots or angles. Based on the content at the display, AI algorithms will switch or choose between different audio or video sources. AI-enabled software will analyze the content of the frame and then determine if a wide, medium or close-up angle suits the content. The software will also analyze video, audio, and other such aspects and switch a full event or show by identifying speech, faces, movements, or activities. The auto-mixing feature will be especially useful in the live events as it will replace the role of a technical director.
Creating Automatic Triggers for Real-Time Graphics
Neural networks can spot target people or objects using facial recognition and trigger production events such as creating subtitles for a presenter in a news channel. Facial recognition can also produce a graphical view of the statistics of a particular player on the field. Cognitive technologies will require the integration of data-driven assets and visualizations that alter depending on specific actions, locations, times, or dynamic data with respect to the stream.
It’s just the initial stage of experts eyeing various areas of live streaming where AI can be applied. Most of the manual processes currently present in the sector will disappear as AI sets its foot into streaming. AI seems to be the best match for solving the complexities involved in live streaming.